论文 · 杨耀东

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完整列表 · 287 篇 · 默认显示 19 篇代表作

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★ 代表作 19 多智能体 RL 109对齐 RLHF 82具身 RL 54RL4Sci 34智能体 RL 33 预印本 72 全部 287

2026 62 篇

ACL

A Game-Theoretic Negotiation Framework for Cross-Cultural Consensus *

Guoxi Zhang, Jiawei Chen, Tianzhuo Yang, Jiaming Ji, Yaodong Yang#, Juntao Dai

ACL 2026

Consensus Game Theory

arXiv PDF

ICML

Are Your Agents Upward Deceivers?

Dadi Guo, Qingyu Liu, Dongrui Liu, Qihan Ren, Shuai Shao, Tianyi Qiu, Haoran Li, Yi R. Fung, Zhongjie Ba, Juntao Dai, Jiaming Ji, Zhikai Chen, Jialing Tao, Yaodong Yang, Jing Shao, Xia Hu

ICML 2026

Deception LLM Agents Safety

arXiv PDF

AAMAS

Beyond Self-Interest: Simulating Human-like Social Behavior via Modeling Social Value Orientation in Agent Motivation

Jingzhe Lin, Ceyao Zhang, Yaodong Yang, Yizhou Wang, Song-Chun Zhu, Fangwei Zhong

AAMAS 2026

LLM Agents Social Simulation Mixed-Motive Multi-Agent RL

arXiv PDF

ACL

Communication-Efficient Desire Alignment for Proactive Embodied Human–Agent Interaction *

Yuanfei Wang, Xinju Huang, Fangwei Zhong, Yaodong Yang#, Yizhou Wang, Yuanpei Chen, Hao Dong

ACL 2026

Embodied AI Alignment

arXiv PDF DOI

ICML

FormalJudge: A Neuro-Symbolic Paradigm for Agentic Oversight *

Jiayi Zhou, Yang Sheng, Hantao Lou, Yaodong Yang#, Jie Fu

ICML 2026

Agent Eval Agentic AI Neuro-Symbolic Safety LLM Agents

arXiv PDF

arXiv

PILA: Plug-and-Play Insertion for LLM-native Advertising

Zhaowei Zhang, Yuhan Fu, Yihang Zhang, Xiaohan Liu, Ceyao Zhang, Xiaoyuan Zhang, Yipeng Kang, Tonghan Wang, Yaodong Yang

arXiv 2026

LLM Agents Advertising Mechanism Design LLM

arXiv PDF

ICLR

PoliCon: Evaluating LLMs on Achieving Diverse Political Consensus Objectives *

Zhaowei Zhang, Xiaobo Wang, Minghua Yi, Mengmeng Wang, Fengshuo Bai, Zilong Zheng, Yipeng Kang, Yaodong Yang#

ICLR 2026

Consensus Benchmark LLM Value Alignment

arXiv PDF

ACL

SIV-Bench: A Video Benchmark for Social Interaction Understanding and Reasoning

Fanqi Kong, Weiqin Zu, Xinyu Chen, Yaodong Yang, Song-Chun Zhu, Xue Feng

ACL 2026

Social Simulation Benchmark Multimodal LLM

arXiv S2

ACL

Uncovering Strategic Egoism Behaviors in Large Language Models

Yaoyuan Zhang, Zonghao Ying, Aishan Liu, Jian Yang, Tianlin Li, Yaodong Yang, Xianglong Liu

ACL 2026 (Findings) Findings

LLM Benchmark Value Alignment Safety

arXiv S2

EMNLP

When Lower Privileges Suffice: Investigating Over-Privileged Tool Selection in LLM Agents *

Kaiyue Yang, Yuyan Bu, Jingwei Yi, Yuchi Wang, Biyu Zhou, Juntao Dai, Songlin Hu, Yaodong Yang#

EMNLP 2026 (Findings) Findings

LLM Agents AI Safety Tool Use Agent Security

arXiv PDF

npj DM

Development and prospective shadow evaluation of a domain-specific large language model

Yibing Guo, Xiangbin Meng, Erlan Yu, Wanwan Zhang, Yaodong Yang, Hongrui Ma, Chunli Shao, Wenyao Wang, Rongjie Wang, Haofei Wang, Ran Meng, Wenbo Zhao, Zhen Song, Xunming Ji, Chuanjie Wu

npj Digital Medicine

Medical AI Medicine LLM Benchmark

Nature

SSRN

Post-Trade Order-Flow Decoding and Strategic Camouflage *

Zhigang Zhang, Qiang Zhang, Shancun Liu, Yaodong Yang#

SSRN 2026

Game Theory Quantitative Finance Theory

SSRN

TMLR

Re:Form - Reducing Human Priors in Scalable Formal Software Verification with RL in LLMs: A Preliminary Study on Dafny

Chuanhao Yan, Fengdi Che, Xuhan Huang, Xu Xu, Xin Li, Yizhi Li, Xingwei Qu, Jingzhe Shi, Chenghua Lin, Yaodong Yang, Binhang Yuan, Hang Zhao, Yu Qiao, Bowen Zhou, Jie Fu

Transactions on Machine Learning Research (TMLR)

Code Reasoning RLHF LLM Benchmark Formal Verification

arXiv PDF

COLM

A Blind Spot in Alignment: Quantifying Biosecurity Risks in Large Language Models *

Shu Quan, Tianfang Hao, Sitong Fang, He Geng, Jiayi Zhou, Boyuan Chen, Kaile Wang, Donghai Hong, Juntao Dai, Yaodong Yang#, Jiaming Ji

COLM 2026

AI Safety Biosecurity Safety Benchmark LLM Risk Assessment Protein Toxin Design

arXiv PDF

ICLR

Align Once, Benefit Multilingually: Enforcing Multilingual Consistency for LLM Safety Alignment *

Yuyan Bu, Xiaohao Liu, ZhaoXing Ren, Yaodong Yang#, Juntao Dai

ICLR 2026

Multilingual Safety Alignment LLM

arXiv PDF

ICML

Debate with Images: Detecting Deceptive Behaviors in Multimodal Large Language Models *

Sitong Fang, Shiyi Hou, Kaile Wang, Boyuan Chen, Donghai Hong, Jiayi Zhou, Juntao Dai, Yaodong Yang#, Jiaming Ji

ICML 2026

Deception Multimodal LLM Safety

arXiv PDF

arXiv

Policy Improvement Reinforcement Learning

Huaiyang Wang, Xiaojie Li, Deqing Wang, Haoyi Zhou, Zixuan Huang, Yaodong Yang, Jianxin Li, Yikun Ban

arXiv 2026

RLHF Reward Modeling Policy Gradient LLM Math

arXiv PDF

ACM MM

Reading Between the Pixels: An Inscriptive Jailbreak Attack on Text-to-Image Models

Zonghao Ying, Haowen Dai, Lianyu Hu, Zonglei Jing, Quanchen Zou, Yaodong Yang, Aishan Liu, Xianglong Liu

ACM MM 2026

Jailbreak Adversarial Attack Text-to-Image AI Safety Multimodal

arXiv PDF

ACL

SafeMCP: Proactive Power Regulation for LLM Agents Defense via Environment-Grounded Look-Ahead Reasoning *

Lichao Wang, ZhaoXing Ren, Tianzhuo Yang, Jiaming Ji, Chi Harold Liu, Yaodong Yang#, Juntao Dai

ACL 2026

LLM Agents Safety LLM

arXiv PDF

ACL

SafeMT: Multi-turn Safety for Multimodal Language Models

Han Zhu, Juntao Dai, Jiaming Ji, Haoran Li, Chengkun Cai, Pengcheng Wen, Chi-Min Chan, Boyuan Chen, Yaodong Yang, Sirui Han, Yike Guo

ACL 2026 (Findings) Findings

Multi-Turn Multimodal Safety LLM

arXiv PDF

EMNLP

Stable Reasoning, Unstable Responses: Mitigating LLM Deception via Stability Asymmetry *

Guoxi Zhang, Jiawei Chen, Tianzhuo Yang, Lang Qin, Juntao Dai, Yaodong Yang#, Jingwei Yi

EMNLP 2026

Deception Safety LLM Alignment

arXiv PDF

ICML

UniCode: Augmenting Evaluation for Code Reasoning

Xinyue Zheng, Haowei Lin, Shaofei Cai, Zilong Zheng, Yaodong Yang, Yitao Liang

ICML 2026

Code Reasoning LLM Benchmark

arXiv PDF

EMNLP

VISA: Value Injection via Shielded Adaptation for Personalized LLM Alignment *

Jiawei Chen, Tianzhuo Yang, Guoxi Zhang, Jiaming Ji, Yaodong Yang#, Juntao Dai

EMNLP 2026

Value Alignment Alignment Preference Optimization RLHF

arXiv PDF

ACL

When Slower Isn’t Truer: Inverse Scaling Law of Truthfulness in Multimodal Reasoning *

Jiaming Ji, Sitong Fang, Wenjing Cao, Jiahao Li, Xuyao Wang, Chi-Min Chan, Sirui Han, Juntao Dai, Yike Guo, Yaodong Yang#

ACL 2026 (Findings) Findings

Truthfulness Multimodal

arXiv PDF

arXiv

Accelerating Robotic Reinforcement Learning with Agent Guidance *

Haojun Chen, Zili Zou, Chengdong Ma, Yaoxiang Pu, Haotong Zhang, Yuanpei Chen, Yaodong Yang#

arXiv 2026

Dexterous Manipulation Reinforcement Learning World Model Robotics Skill Learning Sample Efficiency

arXiv PDF

AAAI

CABTO: Context-Aware Behavior Tree Grounding for Robot Manipulation

Xinglin Chen, Yishuai Cai, Yuanpei Chen, Minglong Li, Wenjing Yang, Ji Wang, Yaodong Yang

AAAI 2026

Behavior Trees Robotics

arXiv PDF

ICRA

CDF-Glove: A Cable-Driven Force Feedback Glove for Dexterous Teleoperation

Huayue Liang*, Ruochong Li, Yuanpei Chen, Yaodong Yang, Long Zeng, Xueqian Wang

ICRA 2026

Dexterous Manipulation Tactile Teleoperation

arXiv PDF

AAAI

DexGraspVLA: A Vision-Language-Action Framework Towards General Dexterous Grasping *

Yifan Zhong, Xuchuan Huang, Ruochong Li, Ceyao Zhang, Zhang Chen, Tianrui Guan, Fanlian Zeng, Ka Nam Lui, Yuyao Ye, Yitao Liang, Yaodong Yang#, Yuanpei Chen

AAAI 2026 Oral

DexGraspVLA VLA Dexterous Manipulation Grasping

arXiv PDF

ICRA

DexKnot: Generalizable Visuomotor Policy Learning for Dexterous Bag-Knotting Manipulation *

Jiayuan Zhang, Ruihai Wu, Haojun Chen, Yuran Wang, Yifan Zhong, Ceyao Zhang, Yaodong Yang#, Yuanpei Chen*

ICRA 2026

DexKnot Dexterous Manipulation Visuomotor Robotics

arXiv PDF

arXiv

EgoSteer: A Full-Stack System Towards Steerable Dexterous Manipulation from Egocentric Videos

Yifan Zhong, Zhang Chen, Tianrui Guan, Fanlian Zeng, Yuyao Ye, Tianjia He, Ka Nam Lui, Jiayi Li, Tingrui Zhang, Ruilin Yan, Xinhao Ji, Guangyu Zhao, Wenjie Lou, Jiayuan Zhang, Yuanpei Chen, Yaodong Yang

arXiv 2026

Dexterous Manipulation Imitation Learning Egocentric Vision Robotics

arXiv PDF

arXiv

Frequency-Aware Flow Matching for Continuous and Consistent Robotic Action Generation

Jianing Guo, Fangzheng Chen, Zihao Mao, Wong Lik Hang Kenny, Zhenhong Wu, Yu Li, Yishuai Cai, Yuanpei Chen, Yikun Ban, Kai Chen, Qi Dou, Yaodong Yang, Xianglong Liu, Huijie Zhao, Simin Li

arXiv 2026

Flow Matching Action Generation Robotics VLA

arXiv PDF

arXiv

LAMP: Latent Motion Prior-Guided Real-World Learning for Dexterous Hand Manipulation

Xinye Yang, Zhiyuan Ma, Hongze Yu, Yuanpei Chen, Yaodong Yang, Xiaojie Chai, Xinlei Chen, Chao Yu

arXiv 2026

Dexterous Manipulation Motion Prior Reinforcement Learning Robotics

arXiv PDF

ICLR

MVR: Multi-view Video Reward Shaping for Reinforcement Learning

Lirui Luo, Guoxi Zhang, Hongming Xu, Yaodong Yang, Cong Fang, Qing Li

ICLR 2026

Multi-View Video Reward Shaping Reinforcement Learning

arXiv PDF

ICLR

On Robustness of Vision-Language-Action Model against Multi-Modal Perturbations *

Jianing Guo, Zhenhong Wu, Chang Tu, Yiyao Ma, Xiangqi Kong, Zhiqian Liu, Jiaming Ji, Shuning Zhang, Yuanpei Chen, Kai Chen, Xianglong Liu, Qi Dou, Yaodong Yang#, Huijie Zhao, Weifeng Lv, Simin Li

ICLR 2026

VLA Multimodal Adversarial Robustness Robotics

arXiv PDF

ECCV

One Demonstration Is Enough for Real-World Robotic Reinforcement Learning *

Yuwan Liu, Hongze Yu, Song Liu, Yuhan Wang, Junge Zhang, Yaodong Yang#, Yuanpei Chen, Ceyao Zhang

ECCV 2026

Robotics Reinforcement Learning Imitation Learning Sample Efficiency Dexterous Manipulation

arXiv PDF

arXiv

RMBench: Memory-Dependent Robotic Manipulation Benchmark with Insights into Policy Design

Tianxing Chen, Yuran Wang, Mingleyang Li, Yan Qin, Hao Shi, Zixuan Li, Yifan Hu, Yingsheng Zhang, Kaixuan Wang, Yue Chen, Hongcheng Wang, Renjing Xu, Ruihai Wu, Yao Mu, Yaodong Yang, Hao Dong, Ping Luo

arXiv 2026

Benchmark Robotics Dexterous Manipulation Bimanual

arXiv PDF

IROS

RetrDex: Efficient Object Retrieval in Cluttered Scenes with a Dexterous Hand *

Fengshuo Bai*, Yu Li, Jie Chu, Tawei Chou, Runchuan Zhu, Ying Wen, Yaodong Yang#, Yuanpei Chen

IROS 2026

Dexterous Manipulation Grasping Robotics Reinforcement Learning Sim-to-Real

arXiv PDF

ICLR

RoboSafe: Safeguarding Embodied Agents via Executable Safety Logic

Le Wang, Zonghao Ying, Xiao Yang, Quanchen Zou, Zhenfei Yin, Tianlin Li, Jian Yang, Yaodong Yang, Lu Sheng, Aishan Liu, Xianglong Liu

ICLR 2026 WorkshopOutstanding Paper

Embodied AI Safety Robotics

arXiv PDF

ICML

SafeLab: An Interactive High-Fidelity Benchmark for Embodied Safety in Scientific Robotics *

Fengshuo Bai, Yufeng Li, Ruihai Wu, Peishuo Wang, Yuhan Wang, Bernie Hao Zhu, Yuanfei Wang, Tawei Chou, Jing Gao, Runchuan Zhu, Ying Wen, Yaodong Yang#, Yuanpei Chen

ICML 2026

Benchmark Embodied AI Safety Robotics

OpenReview

ICML

VLA-Arena: An Open-Source Framework for Benchmarking Vision-Language-Action Models *

Borong Zhang, Jiahao Li, Jiachen Shen, Yishuai Cai, Yuhao Zhang, Yuanpei Chen, Juntao Dai, Jiaming Ji, Yaodong Yang#

ICML 2026

VLA Benchmark Safety Adversarial Robustness

arXiv PDF

TPAMI

Evolving Diverse Red-team Language Models in Multi-round Multi-agent Games *

Chengdong Ma, Ziran Yang, Hai Ci, Jun Gao, Minquan Gao, Xuehai Pan, Yaodong Yang#

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

Red-teaming Multi-Agent RL LLM Nash Equilibrium Game Theory Diversity Self-Play

arXiv PDF

ICML

Fault Tolerant Multi-Agent Learning with Adversarial Budget Constraints

David Henry Mguni, Yaqi Sun, Haojun Chen, Wanrong Yang, Amir Darabi, Larry Olanrewaju Orimoloye, Yaodong Yang

ICML 2026

Adversarial Robustness Multi-Agent RL

arXiv PDF

arXiv

Heterogeneous Agent Collaborative Reinforcement Learning

Zhixia Zhang, Zixuan Huang, Gongxun Li, Huaiyang Wang, Chengyi Yuan, Xin Xia, Deqing Wang, Fuzhen Zhuang, Shuai Ma, Ning Ding, Yaodong Yang, Jianxin Li, Yikun Ban

arXiv 2026

Multi-Agent RL Heterogeneous Agents Cooperative MARL Policy Optimization

arXiv PDF

UAI

Learning Expressive Random Feature Models via Parametrized Activations *

Zailin Ma, Jiansheng Yang, Yaodong Yang#

UAI 2026

Random Features Theory Representation Learning

arXiv PDF

JMLR

Sample-Efficient Regret-Minimizing Double Oracle in Two-Player Zero-Sum Extensive-Form Games *

Xiaohang Tang, Chiyuan Wang, Chengdong Ma, Ilija Bogunovic, Stephen McAleer, Yaodong Yang#

Journal of Machine Learning Research (JMLR)

Extensive-Form Games Double Oracle Multi-Agent RL Sample Complexity Nash Equilibrium Regret Minimization Game Theory

arXiv PDF

ICML

Vulnerable Agent Identification in Large-Scale Multi-Agent Reinforcement Learning *

Simin Li, Zihao Mao, Zheng Yuwei, Linhao Wang, Ruixiao Xu, Chengdong Ma, Zhiqian Liu, Xin Yu, Yuqing Ma, Xin Wang, Jie Luo, Bo An, Yaodong Yang#, Weifeng Lv, Xianglong Liu

ICML 2026

Multi-Agent RL Reinforcement Learning Adversarial Robustness

arXiv PDF

OpenReview

Adversarial Policy Transfer in Mixed Cooperative-Competitive Games

Ruixiao Xu, Zhiqian Liu, Zhixia Zhang, Simin Li, Qi Dou, Yaodong Yang, Xianglong Liu

OpenReview 2026

Multi-Agent RL Mixed-Motive Adversarial Robustness Adversarial Attack Nash Equilibrium

OpenReview

arXiv

AgentVisor: Defending LLM Agents Against Prompt Injection via Semantic Virtualization

Zonghao Ying, Haozheng Wang, Jiangfan Liu, Quanchen Zou, Aishan Liu, Jian Yang, Yaodong Yang, Xianglong Liu

arXiv 2026

LLM Agents Safety Adversarial Robustness Jailbreak

arXiv PDF

arXiv

Does LLM Alignment Really Need Diversity?

Zhaowei Zhang, Xiaohan Liu, Xuekai Zhu, Junchao Huang, Ceyao Zhang, Zhiyuan Feng, Yaodong Yang, Xiaoyuan Yi, Xing Xie

arXiv 2026

Alignment Diversity RLHF Preference Optimization

arXiv PDF

arXiv

Enhance the Safety in Reinforcement Learning by ADRC Lagrangian Methods

Mingxu Zhang, Huicheng Zhang, Jiaming Ji, Yaodong Yang, Ying Sun

arXiv 2026

Safe RL Reinforcement Learning Safety

arXiv PDF

SSRN

Epistemic Exploration Toward Artificial General Intelligence

Yikun Ban, Fengkai Yang, Fangzheng Chen, Yibo Wang, Zhijun Chen, Zhongyi Li, Zixuan Huang, Xiaoyuan Zhang, Gongxun Li, Zehao Chen, Huaiyang Wang, Xiaodong Lu, Yaocheng Yang, Pengcheng Wei, Wan Tian, Zherui Chen, Zhixia Zhang, Hongyan Xie, Lingyu Lv, Xiaohan Wang, Jiajun Chai, Guojun Yin, Wei Lin, Tianxiang Ai, Ruijie Wang, Haoyi Zhou, Chaochao Lu, Wanxiang Che, Fuzhen Zhuang, Ning Ding, Qianqian Xu, Deqing Wang, Yaodong Yang, Jianxin Li

SSRN 2026

Exploration Foundation Models Theory LLM

SSRN

arXiv

Evolving Deception: When Agents Evolve, Deception Wins

Zonghao Ying, Haowen Dai, Tianyuan Zhang, Yisong Xiao, Quanchen Zou, Aishan Liu, Jian Yang, Yaodong Yang, Xianglong Liu

arXiv 2026

Deception LLM Agents Social Simulation Safety Game Theory Alignment

arXiv PDF

arXiv

GuardAD: Safeguarding Autonomous Driving MLLMs via Markovian Safety Logic

Tianyuan Zhang, Peng Yue, Zihao Peng, Jiangfan Liu, Zonghao Ying, Jiakai Wang, Tianlin Li, Jian Yang, Yaodong Yang, Aishan Liu, Xianglong Liu

arXiv 2026

Autonomous Driving Safety Multimodal Neuro-Symbolic

arXiv PDF

OpenReview

Mesa and Mask: A Benchmark for Detecting and Classifying Deceptive Behaviors in LLMs

Boren Zheng, Mengying Yuan, Kexin Chen, Baihui Zheng, Zhendong Liu, Boyuan Chen, Jiaming Ji, Yingshui Tan, Xiaoyong Zhu, Yaodong Yang, Bo Zheng

OpenReview 2026

Deception Benchmark LLM Safety Alignment Truthfulness

OpenReview

arXiv

MiraBench: Evaluating Action-Conditioned Reliability in Robotic World Models *

Tianzhuo Yang, Zihan Shen, Zirui Mi, Zhaoyi Zhang, Jiayi Zhou, Jiaming Ji, Juntao Dai, Jiawei Chen, Boyuan Chen, Yaodong Yang#

arXiv 2026

World Model Benchmark Robotics Embodied AI

arXiv PDF

arXiv

RedVLA: Physical Red Teaming for Vision-Language-Action Models *

Yuhao Zhang, Borong Zhang, Jiaming Fan, Jiachen Shen, Yishuai Cai, Yaodong Yang#, Jiaming Ji#

arXiv 2026

VLA Red-teaming Safe VLA Safety Adversarial Attack Benchmark

arXiv PDF

arXiv

SPADE-Bench: Evaluating Spontaneous Strategic Deception in Agents via Plan-Action Divergence

Yuyan Bu, Haowei Li, Qirui Zheng, Bowen Dong, Kaiyue Yang, Jiaming Ji, Yingshui Tan, Wenxin Li, Yaodong Yang, Juntao Dai

arXiv 2026

LLM Agents Deception Benchmark Safety

arXiv PDF

OpenReview

ScaleMoE: Mixture-of-Experts for Scalable Continuous Control in Actor-Critic Reinforcement Learning

Yi Ma, Chenjun Xiao, Hongyao Tang, Yaodong Yang, Jing Liang, Jiye Liang

OpenReview 2026

Actor-Critic Reinforcement Learning Sample Efficiency

OpenReview

arXiv

ShuttleEnv: An Interactive Data-Driven RL Environment for Badminton Strategy Modeling

Ang Li, Xinyang Gong, Bozhou Chen, Yunlong Lu, Jiaming Ji, Yongyi Wang, Yaodong Yang, Wenxin Li

arXiv 2026

Reinforcement Learning Benchmark Self-Play Opponent Modeling

arXiv PDF

arXiv

System Design for Maintaining Internal State Consistency in Long-Horizon Robotic Games

Guangyu Zhao, Ceyao Zhang, Chengdong Ma, Tao Wu, Yiyang Song, Haoxuan Ru, Yifan Zhong, Ruilin Yan, Lingfeng Li, Ruochong Li, Yu Li, Xuyuan Han, Yun Ding, Ruizhang Jiang, Xiaochuan Zhang, Yichao Li, Yuanpei Chen, Yaodong Yang, Yitao Liang

arXiv 2026

Robotics Embodied AI LLM Agents

arXiv PDF

arXiv

TwinGate: Stateful Defense against Decompositional Jailbreaks

Bowen Sun, Chaozhuo Li, Yaodong Yang, Yiwei Wang, Chaowei Xiao

arXiv 2026

Jailbreak Safety LLM

arXiv PDF

arXiv

Your Group-Relative Advantage Is Biased

Fengkai Yang, Zherui Chen, Xiaohan Wang, Xiaodong Lu, Jiajun Chai, Guojun Yin, Wei Lin, Shuai Ma, Fuzhen Zhuang, Deqing Wang, Yaodong Yang, Jianxin Li, Yikun Ban

arXiv 2026

RLHF Policy Gradient Reward Shaping LLM Math

arXiv PDF

2025 62 篇

EMNLP

Enhancing LLM-Based Social Bot via an Adversarial Learning Framework

Fanqi Kong, Xiaoyuan Zhang, Xinyu Chen, Yaodong Yang, Song-Chun Zhu, Xue Feng

EMNLP 2025

Social Simulation Adversarial Robustness LLM

arXiv PDF

AAMAS

Hierarchical Multi-Agent Framework for Dynamic Macroeconomic Modelling Using Large Language Models

Zhixun Chen, Zijing Shi, Yaodong Yang, Meng Fang, Yali Du

AAMAS 2025 Extended

Macroeconomics Multi-Agent RL LLM

DOI ACM DL

NeurIPS

Social World Model-Augmented Mechanism Design Policy Learning *

Xiaoyuan Zhang, Yizhe Huang, Chengdong Ma, Zhixun Chen, Long Ma, Yali Du, Song-Chun Zhu, Yaodong Yang#, Xue Feng

NeurIPS 2025

Mechanism Design Social Simulation World Models

arXiv PDF

NeurIPS

World Models Should Prioritize the Unification of Physical and Social Dynamics *

Xiaoyuan Zhang, Chengdong Ma, Yizhe Huang, Weidong Huang, Siyuan Qi, Song-Chun Zhu, Xue Feng, Yaodong Yang#

NeurIPS 2025 Position

Physics Social Simulation World Models

arXiv PDF

NeurIPS

PHYBench: Holistic Evaluation of Physical Perception and Reasoning in Large Language Models

Shi Qiu, Shaoyang Guo, Zhuo-Yang Song, Yunbo Sun, Zeyu Cai, Jiashen Wei, Tianyu Luo, Yixuan Yin, Haoxu Zhang, Yi Hu, Chenyang Wang, Chencheng Tang, Haoling Chang, Qi Liu, Ziheng Zhou, Tianyu Zhang, Jingtian Zhang, Zhangyi Liu, Minghao Li, Yuku Zhang, Boxuan Jing, Xianqi Yin, Yutong Ren, Zizhuo Fu, Jiaming Ji, Weike Wang, Xudong Tian, Anqi Lv, Laifu Man, Jianxiang Li, Feiyu Tao, Qihua Sun, Zhou Liang, Yushu Mu, Zhongxuan Li, Jing-Jun Zhang, Shutao Zhang, Xiaotian Li, Xingqi Xia, Jiawei Lin, Zheyu Shen, Jiahang Chen, Qiuhao Xiong, Binran Wang, Fengyuan Wang, Ziyang Ni, Bohan Zhang, Fan Cui, Changkun Shao, Qing-Hong Cao, Ming-xing Luo, Yaodong Yang, Muhan Zhang, Hua Xing Zhu

NeurIPS 2025 Dataset

Physics LLM Benchmark

arXiv S2

arXiv

AI Deception: Risks, Dynamics, and Controls

Boyuan Chen, Sitong Fang, Jiaming Ji, Yanxu Zhu, Pengcheng Wen, Jinzhou Wu, Yingshui Tan, Boren Zheng, Mengying Yuan, Wenqi Chen, Donghai Hong, Alex Qiu, Xin Chen, Jiayi Zhou, Kaile Wang, Juntao Dai, Borong Zhang, Tianzhuo Yang, Saad Siddiqui, Isabella Duan, Yawen Duan, Brian Tse, Jen-Tse Huang, Kun Wang, Baihui Zheng, Jiaheng Liu, Jian Yang, Yiming Li, Wenting Chen, Dongrui Liu, Lukas Vierling, Zhiheng Xi, Haobo Fu, Wenxuan Wang, Jitao Sang, Zhengyan Shi, Chi-Min Chan, Eugenie Shi, Simin Li, Juncheng Li, Wei Ji, Dong Li, Jinglin Yang, Jun Song, Yinpeng Dong, Jie Fu, Bo Zheng, Min Yang, Yike Guo, Philip Torr, Robert Trager, Yi Zeng, Zhongyuan Wang, Yaodong Yang, Tiejun Huang, Ya-Qin Zhang, Hongjiang Zhang, Andrew Yao

arXiv 2025

Deception Safety Survey Alignment

arXiv PDF

ICLR

Amulet: ReAlignment During Test Time for Personalized Preference Adaptation of LLMs *

Zhaowei Zhang, Fengshuo Bai, Qizhi Chen, Chengdong Ma, Mingzhi Wang, Haoran Sun, Zilong Zheng, Yaodong Yang#

ICLR 2025

Amulet Persona Preference Learning Alignment

arXiv S2

ACL

Benchmarking Multi-National Value Alignment for Large Language Models

Chengyi Ju, Weijie Shi, Chengzhong Liu, Jiaming Ji, Jipeng Zhang, Ruiyuan Zhang, Jiajie Xu, Yaodong Yang, Sirui Han, Yike Guo

ACL 2025 (Findings) Findings

Value Alignment Benchmark Alignment LLM

arXiv PDF

ACL

Boosting Policy and Process Reward Models with Monte Carlo Tree Search in Open-Domain QA

Chi-Min Chan, Chunpu Xu, Junqi Zhu, Jiaming Ji, Donghai Hong, Pengcheng Wen, Chunyang Jiang, Zhen Ye, Yaodong Yang, Wei Xue, Sirui Han, Yike Guo

ACL 2025 (Findings) Findings

Reward Modeling LLM

S2 DOI

ICLR

Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models

Rui Ye, Jingyi Chai, Xiangrui Liu, Yaodong Yang, Yanfeng Wang, Siheng Chen

ICLR 2025

Federated Learning Instruction Tuning Adversarial Attack Safety LLM

arXiv PDF

AGI

Heterogeneous Value Alignment Evaluation for Large Language Models *

Zhaowei Zhang, Ceyao Zhang, Nian Liu, Siyuan Qi, Ziqi Rong, Song-Chun Zhu, Yaodong Yang#

AGI 2025

Value Alignment Alignment LLM

arXiv PDF

ICLR

In-Context Editing: Learning Knowledge from Self-Induced Distributions

Siyuan Qi, Bangcheng Yang, Kailin Jiang, Xiaobo Wang, Jiaqi Li, Yifan Zhong, Yaodong Yang, Zilong Zheng

ICLR 2025

Knowledge Editing

arXiv PDF

NeurIPS

InterMT: Multi-Turn Interleaved Preference Alignment with Human Feedback *

Boyuan Chen, Donghai Hong, Jiaming Ji, Jiacheng Zheng, Bowen Dong, Rui Pan, Xuyao Wang, Juntao Dai, Chi-Min Chan, Yaodong Yang#

NeurIPS 2025 SpotlightDataset

Multi-Turn Preference Learning Alignment

arXiv PDF

arXiv

J1: Exploring Simple Test-Time Scaling for LLM-as-a-Judge

Chi-Min Chan, Chunpu Xu, Jiaming Ji, Zhen Ye, Pengcheng Wen, Chunyang Jiang, Yaodong Yang, Wei Xue, Sirui Han, Yike Guo

arXiv 2025

LLM Reward Modeling Preference Learning Alignment

arXiv PDF

NeurIPS

Learning Principles from Multi-modal Human Preference *

Jiayi Zhou, Jiaming Ji, Boyuan Chen, Jiapeng Sun, Wenqi Chen, Donghai Hong, Sirui Han, Yike Guo, Yaodong Yang#

NeurIPS 2025

Preference Dataset Multimodal Preference Learning

arXiv PDF

NAACL

Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability

Haonan Li, Xudong Han, Zenan Zhai, Honglin Mu, Hao Wang, Zhenxuan Zhang, Yilin Geng, Shom Lin, Renxi Wang, Artem Shelmanov, Xiangyu Qi, Yuxia Wang, Donghai Hong, Youliang Yuan, Meng Chen, Haoqin Tu, Fajri Koto, Cong Zeng, Tatsuki Kuribayashi, Rishabh Bhardwaj, Bingchen Zhao, Yawen Duan, Yi Liu, Emad A. Alghamdi, Yaodong Yang, Yinpeng Dong, Soujanya Poria, Pengfei Liu, Zhengzhong Liu, Xuguang Ren, Eduard H. Hovy, Iryna Gurevych, Preslav Nakov, Monojit Choudhury, Timothy Baldwin

NAACL 2025 (Demo)

Libra Leaderboard Leaderboard Safety

arXiv PDF

ICLR

Magnetic Preference Optimization: Achieving Last-iterate Convergence for Language Model Alignment *

Mingzhi Wang, Chengdong Ma, Qizhi Chen, Linjian Meng, Yang Han, Jiancong Xiao, Zhaowei Zhang, Jing Huo, Weijie J. Su, Yaodong Yang#

ICLR 2025

Preference Optimization Preference Learning Alignment LLM

arXiv PDF

ICLR

Mitigating Reward Over-Optimization in RLHF via Behavior-Supported Regularization *

Juntao Dai, Taiye Chen, Yaodong Yang#, Qian Zheng

ICLR 2025

RLHF Reward Hacking

arXiv PDF

ACL

PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human Preference *

Jiaming Ji, Donghai Hong, Borong Zhang, Boyuan Chen, Josef Dai, Boren Zheng, Tianyi Qiu, Boxun Li, Yaodong Yang#

ACL 2025

Safe RLHF PKU-SafeRLHF Preference Dataset Preference Learning Safety

arXiv S2

AAAI

RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors *

Fengshuo Bai, Runze Liu, Yali Du, Ying Wen, Yaodong Yang#

AAAI 2025 Oral

Adversarial Attack Adversarial Robustness Reinforcement Learning

arXiv PDF

ACL

Reward Generalization in RLHF: A Topological Perspective *

Tianyi Qiu, Fanzhi Zeng, Jiaming Ji, Dong Yan, Kaile Wang, Jiayi Zhou, Yang Han, Josef Dai, Xuehai Pan, Yaodong Yang#

ACL 2025 (Findings) Findings

RLHF Alignment Theory Reward Modeling

arXiv PDF

NeurIPS

Risk-aware Direct Preference Optimization under Nested Risk Measure

Lijun Zhang, Lin Li, Yajie Qi, Huizhong Song, Yaodong Yang, Jun Wang, Wei Wei

NeurIPS 2025

Preference Optimization Preference Learning DPO LLM

arXiv S2

AGI

Roadmap on Incentive Compatibility for AI Alignment and Governance in Sociotechnical Systems *

Zhaowei Zhang, Fengshuo Bai, Mingzhi Wang, Haoyang Ye, Chengdong Ma, Yaodong Yang#

AGI 2025 Oral

Survey Alignment Mechanism Design Game Theory

arXiv PDF

ICML

SAE-V: Interpreting Multimodal Models for Enhanced Alignment *

Hantao Lou, Changye Li, Jiaming Ji, Yaodong Yang#

ICML 2025

Interpretability Multimodal Alignment

arXiv PDF

NeurIPS

STAR: Efficient Preference-based Reinforcement Learning via Dual Regularization *

Fengshuo Bai, Rui Zhao, Hongming Zhang, Sijia Cui, Shao Zhang, Ying Wen, Yaodong Yang#, Bo Xu, Lei Han

NeurIPS 2025

Preference Learning Reinforcement Learning Reward Modeling Sample Efficiency Offline RL

arXiv S2

NeurIPS

Safe RLHF-V: Safe Reinforcement Learning from Multi-modal Human Feedback *

Jiaming Ji, Xinyu Chen, Rui Pan, Han Zhu, Conghui Zhang, Jiahao Li, Donghai Hong, Boyuan Chen, Jiayi Zhou, Kaile Wang, Juntao Dai, Chi-Min Chan, Sirui Han, Yike Guo, Yaodong Yang#

NeurIPS 2025

Safe RLHF RLHF Safe RL Multimodal Reinforcement Learning

arXiv PDF

arXiv

SafeEditor: Unified MLLM for Efficient Post-hoc T2I Safety Editing *

Ruiyang Zhang, Jiahao Luo, Xiaoru Feng, Qiufan Pang, Yaodong Yang#, Juntao Dai#

arXiv 2025

Safety Multimodal LLM Alignment

arXiv PDF

ACL

SafeLawBench: Towards Safe Alignment of Large Language Models

Chuxue Cao, Han Zhu, Jiaming Ji, Qichao Sun, Zhenghao Zhu, Yinyu Wu, Josef Dai, Yaodong Yang, Sirui Han, Yike Guo

ACL 2025 (Findings) Findings

SafeLawBench Alignment LLM

arXiv PDF

AAAI

Sequence to Sequence Reward Modeling: Improving RLHF by Language Feedback *

Jiayi Zhou, Jiaming Ji, Juntao Dai, Yaodong Yang#

AAAI 2025 Oral

RLHF Reward Modeling

arXiv PDF

AAAI

Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction *

Hantao Lou, Jiaming Ji, Kaile Wang, Yaodong Yang#

AAAI 2025

Aligner Stream Aligner Alignment

arXiv PDF

arXiv

Super Co-alignment of Human and AI for Sustainable Symbiotic Society

Yi Zeng, Feifei Zhao, Yuwei Wang, Enmeng Lu, Yaodong Yang, Lei Wang, Chao Liu, Yitao Liang, Dongcheng Zhao, Bing Han, Haibo Tong, Yao Liang, Dongqi Liang, Kang Sun, Boyuan Chen, Jinyu Fan

arXiv 2025

AI Alignment Superalignment AI Safety Value Alignment

arXiv PDF

CASE

A Unified Framework for Multi-Stage Decision Optimization with Deep Reinforcement Learning and Foundation Models *

Qinghao Wang, Jinyang Jiang, Xiaotian Liu, Tao Ren, Yi Zheng, Cheng Zhang, Yaodong Yang#, Yijie Peng

2025 IEEE 21st International Conference on Automation Science and Engineering (CASE)

Reinforcement Learning Foundation Models

DOI

IROS

Adaptive Visual-Tactile Fusion with Predictive Force Attention for Dexterous Manipulation

Jinzhou Li, Tianhao Wu*, Jiyao Zhang, Zeyuan Chen, Haotian Jin, Aaron Mingdong Wu, Yujun Shen, Yaodong Yang, Hao Dong

IROS 2025

Dexterous Manipulation Tactile Robotics

arXiv PDF

CoRL

ClutterDexGrasp: A Sim-to-Real System for General Dexterous Grasping in Cluttered Scenes

Zeyuan Chen, Qiyang Yan, Yuanpei Chen, Tianhao Wu, Jiyao Zhang, Zihan Ding, Jinzhou Li, Yaodong Yang, Hao Dong

CoRL 2025

ClutterDex Sim-to-Real Dexterous Manipulation Grasping

arXiv PDF

NeurIPS

DexFlyWheel: A Scalable and Self-improving Data Generation Framework for Dexterous Manipulation *

Kefei Zhu, Fengshuo Bai, YuanHao Xiang, Yishuai Cai, Xinglin Chen, Ruochong Li, Xingtao Wang, Hao Dong, Yaodong Yang#, Xiaopeng Fan, Yuanpei Chen

NeurIPS 2025 Spotlight

DexFlyWheel Dexterous Manipulation Robotics

arXiv PDF

arXiv

Dexterous Non-Prehensile Manipulation for Ungraspable Object via Extrinsic Dexterity *

Yuhan Wang, Yu Li, Yaodong Yang#, Yuanpei Chen#

arXiv 2025

Dexterous Manipulation Grasping Sim-to-Real Reinforcement Learning

arXiv PDF

AAAI

Differentiable Information Enhanced Model-Based Reinforcement Learning *

Xiaoyuan Zhang, Xinyan Cai, Bo Liu, Weidong Huang, Song-Chun Zhu, Siyuan Qi, Yaodong Yang#

AAAI 2025 Oral

Model-Based RL Reinforcement Learning

arXiv PDF

ICML

Falcon: Fast visuomotor policy via partial denoising *

Haojun Chen, Minghao Liu, Xiaojian Ma, Zailin Ma, Huimin Wu, Chengdong Ma, Yuanpei Chen, Yifan Zhong, Mingzhi Wang, Qing Li, Yaodong Yang#

ICML 2025

Diffusion Policy Falcon Policy Visuomotor

arXiv PDF

ACM MM

Learning Uniformly Distributed Embedding Clusters of Stylistic Skills for Physically Simulated Characters *

Nian Liu, Zilong Zhang, Zi Wang, Tengyu Liu, Hongzhao Xie, Xinyi Tong, Libin Liu, Yaodong Yang#, Zhaofeng He

ACM MM 2025

Skill Learning Humanoid

arXiv PDF

ACL

Language Models Resist Alignment: Evidence From Data Compression *

Jiaming Ji, Kaile Wang, Tianyi Qiu, Boyuan Chen, Jiayi Zhou, Changye Li, Hantao Lou, Josef Dai, Yunhuai Liu, Yaodong Yang#

ACL 2025 ★ Best Paper

Alignment Theory Alignment LLM

媒体报道新华社↗国家自然科学基金委↗机器之心↗

arXiv S2

NeurIPS

Safe VLA: Towards Safety Alignment of Vision-Language-Action Model via Safe Reinforcement Learning *

Borong Zhang, Yuhao Zhang, Jiaming Ji, Yingshan Lei, Josef Dai, Yuanpei Chen, Yaodong Yang#

NeurIPS 2025 Spotlight

Safe VLA VLA Safe RL Safety Alignment

arXiv PDF

TNNLS

Distributed Policy Space Response Oracles in Two-Player Zero-Sum Games

Hongsong Tang, Yingzhuo Liu, Letian Ni, Liuyu Xiang, Yaodong Yang, Ke Bi, Zhaofeng He

IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

PSRO Zero-Sum Games Distributed Systems

DOI

NeurIPS

Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning *

Simin Li, Zihao Mao, Hanxiao Li, Zonglei Jing, Zhuohang Bian, Jun Guo, Li Wang, Zhuoran Han, Ruixiao Xu, Xin Yu, Chengdong Ma, Yuqing Ma, Bo An, Yaodong Yang#, Weifeng Lv, Xianglong Liu Hide Authors

NeurIPS 2025

Cooperative MARL Multi-Agent RL Cooperation Reinforcement Learning Adversarial Robustness Benchmark

arXiv S2

AAMAS

Mean Field Correlated Imitation Learning *

Zhiyu Chen, Muning Wen, Yali Du, Ying Wen, Yaodong Yang#

AAMAS 2025

Mean Field RL Imitation Learning

arXiv PDF

AAAI

Towards efficient collaboration via graph modeling in reinforcement learning *

Wenzhe Fan, Zishun Yu, Chengdong Ma, Changye Li, Yaodong Yang#, Xinhua Zhang

AAAI 2025

Reinforcement Learning Multi-Agent RL Cooperation

arXiv PDF

arXiv

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment

Kun Wang, Guibin Zhang, Zhenhong Zhou, Jiahao Wu, Miao Yu, Shiqian Zhao, Chenlong Yin, Jinhu Fu, Yibo Yan, Hanjun Luo, Liang Lin, Zhihao Xu, Haolang Lu, Xinye Cao, Xinyun Zhou, Weifei Jin, Fanci Meng, Junyuan Mao, Yu Wang, Hao Wu, Minghe Wang, Fan Zhang, Junfeng Fang, Wenjie Qu, Yue Liu, Chengwei Liu, Yifan Zhang, Qiankun Li, Chongye Guo, Yalan Qin, Zhaoxin Fan, Kai Wang, Yi Ding, Donghai Hong, Jiaming Ji, Yingxin Lai, Zitong Yu, Xinfeng Li, Yifan Jiang, Yanhui Li, Xinyu Deng, Junlin Wu, Dongxia Wang, Yihao Huang, Yufei Guo, Jen-Tse Huang, Qiufeng Wang, Xiaolong Jin, Wenxuan Wang, Dongrui Liu, Yanwei Yue, Wenke Huang, Guancheng Wan, Heng Chang, Tianlin Li, Yi Yu, Chenghao Li, Jiawei Li, Lei Bai, Jie Zhang, Qing Guo, Jingyi Wang, Tianlong Chen, Joey Tianyi Zhou, Xiaojun Jia, Weisong Sun, Cong Wu, Jing Chen, Xuming Hu, Yiming Li, Xiao Wang, Ningyu Zhang, Luu Anh Tuan, Guowen Xu, Tianwei Zhang, Xingjun Ma, Xiang Wang, Bo An, Jun Sun, Mohit Bansal, Shirui Pan, Yuval Elovici, Bhavya Kailkhura, Bo Li, Yaodong Yang, Hongwei Li, Wenyuan Xu, Yizhou Sun, Wei Wang, Qing Li, Ke Tang, Yu-Gang Jiang, Felix Juefei-Xu, Hui Xiong, Xiaofeng Wang, Shuicheng Yan, Dacheng Tao, Philip S. Yu, Qingsong Wen, Yang Liu

arXiv 2025

Survey Safety LLM

arXiv PDF

arXiv

A Survey on Vision-Language-Action Models: An Action Tokenization Perspective *

Yifan Zhong, Fengshuo Bai, Shaofei Cai, Xuchuan Huang, Zhang Chen, Xiaowei Zhang, Yuanfei Wang, Shaoyang Guo, Tianrui Guan, Ka Nam Lui, Zhiquan Qi, Yitao Liang, Yuanpei Chen, Yaodong Yang#

arXiv 2025

VLA Survey

arXiv PDF

arXiv

Approximating N-Player Nash Equilibrium through Gradient Descent

Dongge Wang, Xiang Yan, Zehao Dou, Wenhan Huang, Yaodong Yang, Xiaotie Deng

arXiv 2025

Nash Equilibrium Game Theory

arXiv PDF

arXiv

Constrained Language Model Policy Optimization via Risk-aware Stepwise Alignment

Lijun Zhang, Lin Li, Wei Wei, Yajie Qi, Huizhong Song, Jun Wang, Yaodong Yang, Jiye Liang

arXiv 2025

Safe RL Preference Optimization Alignment LLM

arXiv PDF

arXiv

Finding Kissing Numbers with Game-theoretic Reinforcement Learning *

Chengdong Ma, Théo Tao Zhaowei, Pengyu Li, Minghao Liu, Haojun Chen, Zihao Mao, Bo Li, Yuan Cheng, Yuan Qi, Yaodong Yang#

arXiv 2025

Game Theory Math Self-Play Reinforcement Learning Cooperative MARL

arXiv PDF

arXiv

Goal Discovery with Causal Capacity for Efficient Reinforcement Learning

Yan Yu, Yaodong Yang, Zhengbo Lu, Chengdong Ma, Wengang Zhou, Houqiang Li

arXiv 2025

Reinforcement Learning Exploration Hierarchical RL Sample Efficiency

arXiv PDF

OpenReview

Iterative Training of Language Models with Opponent Modeling for Red Teaming Data Generation *

Yiming Rong, Hang Deng, Xuehai Pan, Yang Han, Fengshuo Bai, Yaodong Yang#

OpenReview 2025

Opponent Modeling Red-teaming LLM

OpenReview

arXiv

LLMs Know More Than Words: A Genre Study with Syntax, Metaphor & Phonetics *

Weiye Shi, Zhaowei Zhang, Shaoheng Yan, Yaodong Yang#

arXiv 2025

LLM Multilingual Interpretability Dataset

arXiv PDF

arXiv

Mitigating Deceptive Alignment via Self-Monitoring *

Jiaming Ji, Wenqi Chen, Kaile Wang, Donghai Hong, Sitong Fang, Boyuan Chen, Jiayi Zhou, Juntao Dai, Sirui Han, Yike Guo, Yaodong Yang#

arXiv 2025

Deception Alignment Chain-of-Thought Safety Benchmark

arXiv PDF

OpenReview

Mixed Hierarchical Oracle and Multi-Agent Benchmark in Two-player Zero-sum Games

Hongsong Tang, Bo Chen, Yingzhuo Liu, Yaodong Yang, Junge Zhang, Liuyu Xiang, Jianchun Xu, Zhaofeng He

OpenReview 2025

Zero-Sum Games Multi-Agent RL Benchmark

OpenReview

arXiv

Model Evolution Framework with Genetic Algorithm for Multi-Task Reinforcement Learning

Yan Yu, Wengang Zhou, Yaodong Yang, Wanxuan Lu, Yingyan Hou, Houqiang Li

arXiv 2025

Reinforcement Learning Meta-RL Robotics

arXiv PDF

arXiv

Never Compromise to Vulnerabilities: A Comprehensive Survey on AI Governance

Yuchu Jiang, Jian Zhao, Yuchen Yuan, Tianle Zhang, Yao Huang, Yanghao Zhang, Yan Wang, Yanshu Li, Xizhong Guo, Yusheng Zhao, Jun Zhang, Zhi Zhang, Xiaojian Lin, Yixiu Zou, Haoxuan Ma, Yuhu Shang, Yuzhi Hu, Keshu Cai, Ruochen Zhang, Boyuan Chen, Yilan Gao, Ziheng Jiao, Yi Qin, Shuangjun Du, Xiao Tong, Zhekun Liu, Yu Chen, Xuankun Rong, Rui Wang, Yejie Zheng, Zhaoxin Fan, Murat Sensoy, Hongyuan Zhang, Pan Zhou, Lei Jin, Hao Zhao, Xu Yang, Jiaojiao Zhao, Jianshu Li, Joey Tianyi Zhou, Zhi-Qi Cheng, Longtao Huang, Zhiyi Liu, Zheng Zhu, Jianan Li, Gang Wang, Qi Li, Xu-Yao Zhang, Yaodong Yang, Mang Ye, Wenqi Ren, Zhaofeng He, Hang Su, Rongrong Ni, Liping Jing, Xingxing Wei, Junliang Xing, Massimo Alioto, Shengmei Shen, Petia Radeva, Dacheng Tao, Ya-Qin Zhang, Shuicheng Yan, Chi Zhang, Zhongjiang He, Xuelong Li

arXiv 2025

Survey Safety Value Alignment Alignment Adversarial Robustness

arXiv PDF

arXiv

On the Generalization Properties of Learning the Random Feature Models with Learnable Activation Functions *

Zailin Ma, Jiansheng Yang, Yaodong Yang#

arXiv 2025

Theory Representation Learning

arXiv PDF

arXiv

Prismatic World Model: Learning Compositional Dynamics for Planning in Hybrid Systems *

Mingwei Li, Xiaoyuan Zhang, Chengwei Yang, Zilong Zheng, Yaodong Yang#

arXiv 2025

World Model Reinforcement Learning

arXiv PDF

arXiv

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?

Haotian Xu, Xing Wu, Weinong Wang, Zhongzhi Li, Da Zheng, Boyuan Chen, Yi Hu, Shijia Kang, Jiaming Ji, Yingying Zhang, Zhijiang Guo, Yaodong Yang, Muhan Zhang, Debing Zhang

arXiv 2025

Chain-of-Thought LLM Math

arXiv PDF

arXiv

Robocoin: An open-sourced bimanual robotic data collection for integrated manipulation

Shihan Wu, Xuecheng Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu Wu, Yiheng Liu, Zhaoye Long, Runtian Xu, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang Yang, You Liu, Ruoxuan Feng, Lei Zhang, Denghang Huang, Chenghao Jin, Anlan Yin, Xinlong Wang, Zhenguo Sun, Junkai Zhao, Mengfei Du, Mingyu Cao, Xiansheng Chen, Hongyang Cheng, Xiaojie Zhang, Yankai Fu, Ning Chen, Cheng Chi, Sixiang Chen, Huaihai Lyu, Xiaoshuai Hao, Yequan Wang, Bo Lei, Dong Liu, Xi Yang, Yance Jiao, Tengfei Pan, Yunyan Zhang, Songjing Wang, Ziqian Zhang, Xu Liu, Ji Zhang, Caowei Meng, Zhizheng Zhang, Jiyang Gao, Song Wang, Xiaokun Leng, Zhiqiang Xie, Zhenzhen Zhou, Peng Huang, Wu Yang, Yandong Guo, Yichao Zhu, Suibing Zheng, Hao Cheng, Xinmin Ding, Yang Yue, Huanqian Wang, Chi Chen, Jingrui Pang, YuXi Qian, Haoran Geng, Lianli Gao, Haiyuan Li, Bin Fang, Gao Huang, Yaodong Yang, Hao Dong, He Wang, Hang Zhao, Yadong Mu, Di Hu, Hao Zhao, Tiejun Huang, Shanghang Zhang, Yonghua Lin, Zhongyuan Wang, Guocai Yao

arXiv 2025

Bimanual Dataset Robotics Teleoperation Dexterous Manipulation

arXiv PDF

arXiv

Thinkpatterns-21k: A systematic study on the impact of thinking patterns in llms

Pengcheng Wen, Jiaming Ji, Chi-Min Chan, Juntao Dai, Donghai Hong, Yaodong Yang, Sirui Han, Yike Guo

arXiv 2025

Chain-of-Thought Instruction Tuning LLM Dataset Benchmark

arXiv PDF

2024 55 篇

NEUCOM

Can large language models independently complete tasks? a dynamic evaluation framework for multi-turn task planning and completion

Jun Gao, Junlin Cui, Huijia Wu, Liuyu Xiang, Han Zhao, Xiangang Li, Meng Fang, Yaodong Yang, Zhaofeng He

Neurocomputing

Multi-Turn LLM LLM Agents Benchmark

DOI

ICLR

CivRealm: A Learning and Reasoning Odyssey for Decision-Making Agents

Siyuan Qi, Shuo Chen, Yexin Li, Xiangyu Kong, Junqi Wang, Bangcheng Yang, Pring Wong, Yaodong Yang, et al.

ICLR 2024 Spotlight

CivRealm Benchmark LLM Agents

arXiv PDF

ICML

Efficient Adaptation in Mixed-Motive Environments via Hierarchical Opponent Modeling and Planning

Yizhe Huang, Anji Liu, Fanqi Kong, Yaodong Yang, Song-Chun Zhu, Xue Feng

ICML 2024

Mixed-Motive Opponent Modeling Multi-Agent RL

arXiv S2

TPAMI

JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models

Zihao Wang, Shaofei Cai, Anji Liu, Yonggang Jin, Jinbing Hou, Bowei Zhang, Haowei Lin, Zhaofeng He, Zilong Zheng, Yaodong Yang, Xiaojian Ma, Yitao Liang

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

JARVIS-1 Multimodal LLM LLM Agents World Model

arXiv PDF

ASOC

MT-dyna: A Framework for Evaluating Multi-Turn Capabilities of LLMs

Jun Gao, Junlin Cui, Anwen Yang, Yiqi Tong, Huijia Wu, Xiangzheng Zhang, Yaodong Yang, Zhaofeng He

Applied Soft Computing

Agent Eval Multi-Turn LLM Benchmark LLM Agents

S2 DOI

AAAI

ProAgent: Building Proactive Cooperative AI with Large Language Models *

Ceyao Zhang, Kaijie Yang, Siyi Hu, Zihao Wang, Guanghe Li, Yihang Sun, Cheng Zhang, Zhaowei Zhang, Anji Liu, Song-Chun Zhu, Xiaojun Chang, Junge Zhang, Feng Yin, Yitao Liang, Yaodong Yang#

AAAI 2024 Oral

ProAgent Cooperation LLM

DOI

IJMS

Large Language Models in Medicine: Applications, Challenges, and Future Directions

Erlan Yu, Xuehong Chu, Wanwan Zhang, Xiangbin Meng, Yaodong Yang, Xunming Ji, Chuanjie Wu

International Journal of Medical Sciences

Medical AI LLM

DOI

JMIR

Revolutionizing Healthcare: The Transformative Impact of LLMs in Medicine *

Yi-Da Tang, Kuo Zhang, Xiangyu Yan, Xiangbin Meng, Jiaming Ji, Hua Xu, Jingqian Liu, Jingjia Wang, Xuliang Wang, Jun Gao, Da Liu, Yuan-Geng-Shuo Wang, Chunli Shao, Wenyao Wang, Yaodong Yang#

Journal of Medical Internet Research (JMIR)

Medical AI LLM Survey

S2 JMIR

iScience

The application of large language models in medicine: A scoping review

Xiangbin Meng, Xiangyu Yan, Kuo Zhang, Da Liu, Xiaojuan Cui, Yaodong Yang, Muhan Zhang, Chunxia Cao, Jingjia Wang, Xuliang Wang, Jun Gao, Yuan-Geng-Shuo Wang, Jiaming Ji, Zifeng Qiu, Muzi Li, Cheng Qian, Tianze Guo, Shuangquan Ma, Zeying Wang, Zexuan Guo, Youlan Lei, Chunli Shao, Wenyao Wang, Haojun Fan, Yi-Da Tang

iScience (Cell Press)

Medical AI Survey LLM

PDF S2

CSUR

AI Alignment: A Contemporary Survey *

Yaodong Yang#, Jiaming Ji, Tianyi Qiu, Boyuan Chen, Jiayi Zhou, Borong Zhang, Donghai Hong, Hantao Lou, Kaile Wang, Yawen Duan, Zhonghao He, Lukas Vierling, Zhaowei Zhang, Fanzhi Zeng, Juntao Dai, Xuehai Pan, Hua Xu, Aidan O’Gara, Kwan Yee Ng, Brian Tse, Jie Fu, Stephen McAleer, Yizhou Wang, Song-Chun Zhu, Yike Guo, Wen Gao

ACM Computing Surveys

Survey Alignment

S2 DOI

Innov.

Med-Aligner Empowers LLM Medical Applications for complex medical scenarios *

Xiangbin Meng, Jiaming Ji, Xiangyu Yan, Jing Dai, Bishan Chen, Guan Wang, Hua Xu, Jingjia Wang, X G Wang, Da Liu, Ming-Qi Zheng, Ruidong Wu, Chujun Wu, Ying Wu, W Wang, Zhen Song, Yaodong Yang#

The Innovation

Aligner Medical AI LLM

DOI

NeurIPS

Panacea: Pareto Alignment via Preference Adaptation for LLMs *

Yifan Zhong, Chengdong Ma, Xiaoyuan Zhang, Ziran Yang, Haojun Chen, Qingfu Zhang, Siyuan Qi, Yaodong Yang#

NeurIPS 2024

Panacea Preference Learning Alignment

arXiv PDF

NeurIPS

ProgressGym: Alignment with a Millennium of Moral Progress *

Tianyi Qiu, Yang Zhang, Xuchuan Huang, Jasmine Xinze Li, Jiaming Ji, Yaodong Yang#

NeurIPS 2024 Spotlight

ProgressGym Value Alignment Alignment

arXiv PDF

ICLR

Safe RLHF: Safe Reinforcement Learning from Human Feedback *

Josef Dai, Xuehai Pan, Ruiyang Sun, Jiaming Ji, Xinbo Xu, Mickel Liu, Yizhou Wang, Yaodong Yang#

ICLR 2024 Spotlight

Safe RLHF RLHF Safe RL Reinforcement Learning LLM Safety Value Alignment

arXiv S2

ICML

Safe Reinforcement Learning using Finite-Horizon Gradient-based Estimation

Juntao Dai, Yaodong Yang, Qian Zheng, Gang Pan

ICML 2024

Safe RL Reinforcement Learning

arXiv S2

ICLR

SafeDreamer: Safe Reinforcement Learning with World Models *

Weidong Huang, Jiaming Ji, Chunhe Xia, Borong Zhang, Yaodong Yang#

ICLR 2024

SafeDreamer Safe RL World Models Reinforcement Learning

arXiv PDF

NeurIPS

SafeSora: Towards Safety Alignment of Text2Video Generation via a Human Preference Dataset *

Juntao Dai, Tianle Chen, Xuyao Wang, Ziran Yang, Taiye Chen, Jiaming Ji, Yaodong Yang#

NeurIPS 2024

Video Generation Preference Dataset Dataset Preference Learning Safety

arXiv PDF

NeurIPS

Scalable Constrained Policy Optimization for Safe Multi-agent Reinforcement Learning

Lijun Zhang, Lin Li, Wei Wei, Huizhong Song, Yaodong Yang, Jiye Liang

NeurIPS 2024

Multi-Agent RL Reinforcement Learning Safe RL Safety Cooperative MARL

S2 NeurIPS

CCL

对齐的理论, 技术与评估 (Theories, Techniques, and Evaluation of AI Alignment) *

Jiaming Ji, Tianyi Qiu, Boyuan Chen, Yaodong Yang#

CCL 2024

Alignment Survey Value Alignment RLHF Interpretability Alignment Theory Safety

S2 ACL

Adaptive pessimism via target Q-value for offline reinforcement learning *

Jie Liu, Yinmin Zhang, Chuming Li, Yaodong Yang#, Yu Liu, Wanli Ouyang

Neural Networks

Offline RL Q-Learning Reinforcement Learning

DOI

CVPR

AnySkill: Learning Open-Vocabulary Physical Skill for Interactive Agents

Jieming Cui, Tengyu Liu, Nian Liu, Yaodong Yang, Yixin Zhu, Siyuan Huang

CVPR 2024

AnySkill Physics Skill Learning

arXiv PDF

T-ASE

ECO: Energy-Constrained Optimization with Reinforcement Learning for Humanoid Walking

Weidong Huang, Jingwen Zhang, Jiongye Li, Shibowen Zhang, Jiayang Wu, Jiayi Wang, Hangxin Liu, Yaodong Yang, Yao Su

IEEE Transactions on Automation Science and Engineering

Humanoid Reinforcement Learning Locomotion Safe RL Sim-to-Real

arXiv S2

RA-L

Grasp multiple objects with one hand

Yuyang Li, Bo Liu, Yiran Geng, Puhao Li, Yaodong Yang, Yixin Zhu, Tengyu Liu, Siyuan Huang

IEEE Robotics and Automation Letters (RA-L)

Grasping

arXiv PDF

CoRL

Neural Attention Field: Emerging Point Relevance in 3D Scenes for One-Shot Dexterous Grasping

Qianxu Wang, Congyue Deng, Tyler Ga Wei Lum, Yuanpei Chen, Yaodong Yang, Jeannette Bohg, Yixin Zhu, Leonidas Guibas

CoRL 2024

Dexterous Manipulation Grasping

arXiv PDF

CoRL

Object-Centric Dexterous Manipulation from Human Motion Data

Yuanpei Chen, Chen Wang, Yaodong Yang, C. Karen Liu

CoRL 2024

Dexterous Manipulation Robotics

arXiv PDF

ICLR

Reason to Behave: Achieving Human-Like Task Execution for Physics-Based Characters

Nian Liu, Yaodong Yang, Zilong Zhang, Zi Wang, Jiayi Zhou, Libin Liu, Song-Chun Zhu, Zhibo Yang, Zhaofeng He

ICLR 2024

Humanoid Skill Learning

OpenReview

TPAMI

ASP: Learn a Universal Neural Solver *

Chenguang Wang, Zhouliang Yu, Stephen McAleer, Tianshu Yu, Yaodong Yang#

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

Combinatorial Optimization PSRO Auto-Curriculum

arXiv PDF S2

NeurIPS

Aligner: Efficient Alignment by Learning to Correct *

Jiaming Ji, Boyuan Chen, Hantao Lou, Donghai Hong, Borong Zhang, Xuehai Pan, Juntao Dai, Yaodong Yang#

NeurIPS 2024 Oral

Aligner Alignment LLM RLHF

arXiv PDF

TPAMI

Bi-DexHands: Towards Human-Level Bimanual Dexterous Manipulation *

Yuanpei Chen, Yiran Geng, Fangwei Zhong, Jiaming Ji, Jiechuang Jiang, Zongqing Lu, Hao Dong, Yaodong Yang#

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

Bimanual Dexterous Manipulation Robotics

媒体报道中国青年报↗

DOI

NMI

Efficient and scalable reinforcement learning for large-scale network control *

Chengdong Ma, Aming Li, Yali Du, Hao Dong, Yaodong Yang#

Nature Machine Intelligence ★ UKRI Best Paper in AI & Robotics

Network Control Reinforcement Learning

媒体报道新华社↗科技日报↗北大新闻网↗

PDF S2

JMLR

Heterogeneous-Agent Reinforcement Learning *

Yifan Zhong, Jakub Grudzien Kuba, Xidong Feng, Siyi Hu, Jiaming Ji, Yaodong Yang#

Journal of Machine Learning Research (JMLR)

HARL Reinforcement Learning Cooperative MARL Multi-Agent RL Nash Equilibrium

arXiv PDF S2

JMLR

Omnisafe: An infrastructure for accelerating safe reinforcement learning research *

Jiaming Ji, Jiayi Zhou, Borong Zhang, Juntao Dai, Xuehai Pan, Ruiyang Sun, Weidong Huang, Yiran Geng, Mickel Liu, Yaodong Yang#

Journal of Machine Learning Research (JMLR)

OmniSafe Safe RL Reinforcement Learning

arXiv PDF

Matter

Transforming the synthesis of carbon nanotubes with machine learning models and automation *

Yue Li, Shurui Wang, Zhou Lv, Zhaoji Wang, Yunbiao Zhao, Ying Xie, Yang Xu, Liu Qian, Yaodong Yang#, Ziqiang Zhao#, Jin Zhang#

Matter (Cell Press)

Carbon Nanotubes Materials Synthesis

媒体报道新华社↗

arXiv PDF

AAAI

A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning *

Yinmin Zhang, Jie Liu, Chuming Li, Yazhe Niu, Yaodong Yang#, Yu Liu, Wanli Ouyang

AAAI 2024

Q-Learning Reinforcement Learning Offline RL

arXiv PDF

ICLR

Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game *

Simin Li, Jun Guo, Jingqiao Xiu, Ruixiao Xu, Xin Yu, Jiakai Wang, Aishan Liu, Yaodong Yang#, Xianglong Liu

ICLR 2024

Byzantine Robust Cooperative MARL Bayesian Methods Multi-Agent RL Cooperation

arXiv PDF

FCS

Computing Ex Ante Equilibrium in Heterogeneous Zero-Sum Team Game

Naming Liu, Mingzhi Wang, Xihuai Wang, Weinan Zhang, Yaodong Yang, Youzhi Zhang, Bo An, Ying Wen

Frontiers of Computer Science (FCS)

Nash Equilibrium Team Games Zero-Sum Games PSRO

arXiv S2

ICASSP

Deep Reinforcement Learning with Task-Adaptive Retrieval via Hypernetwork

Yonggang Jin, Chenxu Wang, Tianyu Zheng, Liuyu Xiang, Yaodong Yang, Junge Zhang, Jie Fu, Zhaofeng He

ICASSP 2024

Reinforcement Learning Meta-RL Sample Efficiency

arXiv PDF

ICML

End-to-End Neuro-Symbolic Reinforcement Learning with Textual Explanations

Lirui Luo, Guoxi Zhang, Hongming Xu, Yaodong Yang, Cong Fang, Qing Li

ICML 2024

Reinforcement Learning Neuro-Symbolic Explainability

arXiv PDF

NeurIPS

FPGA-Gym: An FPGA-Accelerated Reinforcement Learning Environment Simulation Framework

Jiayi Li, Hongxiao Zhao, Wenshuo Yue, Yihan Fu, Daijing Shi, Anjunyi Fan, Qinghao Wang, Yaodong Yang, Bonan Yan

NeurIPS 2024 Workshop

FPGA Acceleration Gym Environment Reinforcement Learning

OpenReview

TMLR

MaskMA: Towards Zero-Shot Multi-Agent Decision Making with Mask-Based Collaborative Learning *

Jie Liu, Yinmin Zhang, Chuming Li, Chao Yang, Yaodong Yang#, Yu Liu, Wanli Ouyang

Transactions on Machine Learning Research (TMLR)

MaskMA Multi-Agent RL

arXiv PDF

ICLR

Maximum Entropy Heterogeneous-Agent Reinforcement Learning *

Jiarong Liu, Yifan Zhong, Siyi Hu, Haobo Fu, Qiang Fu, Xiaojun Chang, Yaodong Yang#

ICLR 2024 Spotlight

HARL Reinforcement Learning

arXiv PDF

POM

Multi-Agent Deep Reinforcement Learning for Multi-Echelon Inventory Management

Xiaotian Liu, Ming Hu, Yijie Peng, Yaodong Yang

Production and Operations Management

Inventory Management Multi-Agent RL Reinforcement Learning

DOI

IJCAI

Off-Agent Trust Region Policy Optimization *

Ruiqing Chen, Xiaoyuan Zhang, Yali Du, Yifan Zhong, Zheng Tian, Fanglei Sun, Yaodong Yang#

IJCAI 2024

Trust Region Multi-Agent RL Policy Gradient

S2 IJCAI

ICLR

Open-Ended Learning in General-Sum Games: The Role of Diversity in Correlated Equilibrium *

Zeyuan Zhao, Muning Wen, Ying Wen, Yaodong Yang#

ICLR 2024

Nash Equilibrium Diversity Population-Based Auto-Curriculum

OpenReview

IJCNN

Remember the Past for Better Future: Memory-Augmented Offline RL *

Yue Zhang, Yaodong Yang#, Zhenbo Lu, Wengang Zhou, Houqiang Li

IJCNN 2024

Offline RL

S2 DOI

T-ITS

Resilient Multi-agent Reinforcement Learning for Tiered Mixed Autonomy

Xin Gao, Xiaoqiang Meng, Chengdong Ma, Zhaoyang Ma, Yaodong Yang, Xueyuan Li, Lihua Xie

IEEE Transactions on Intelligent Transportation Systems

Multi-Agent RL Reinforcement Learning

DOI

RoMAT: Role-based multi-agent transformerfor generalizable heterogeneous cooperation *

Dongzi Wang, Fangwei Zhong, Minglong Li, Muning Wen, Yuanxi Peng, Teng Li, Yaodong Yang#

Neural Networks

Multi-Agent Transformer Multi-Agent RL

DOI

AAAI

STAS: Spatial-Temporal Return Decomposition for Solving Sparse Rewards Problems in Multi-agent Reinforcement Learning *

Sirui Chen, Zhaowei Zhang, Yaodong Yang#, Yali Du

AAAI 2024

Multi-Agent RL Reinforcement Learning Credit Assignment

arXiv PDF

TIMAR: Transition-informed representation for sample-efficient multi-agent reinforcement learning *

Mingxiao Feng, Yaodong Yang#, Wengang Zhou, Houqiang Li

Neural Networks

Multi-Agent RL Reinforcement Learning

DOI

arXiv

A Survey on Self-play Methods in Reinforcement Learning

Ruize Zhang, Zelai Xu, Chengdong Ma, Chao Yu, Wei-Wei Tu, Wenhao Tang, Shiyu Huang, Deheng Ye, Wenbo Ding, Yaodong Yang, Yu Wang

arXiv 2024

Self-Play Survey Reinforcement Learning

arXiv PDF

arXiv

Align Anything: Training All-Modality Models to Follow Instructions with Language Feedback *

Jiaming Ji, Jiayi Zhou, Hantao Lou, Boyuan Chen, Donghai Hong, Xuyao Wang, Wenqi Chen, Kaile Wang, Rui Pan, Jiahao Li, Mohan Wang, Josef Dai, Tianyi Qiu, Hua Xu, Dong Li, Weipeng Chen, Jun Song, Bo Zheng, Yaodong Yang#

arXiv 2024

All-Modality Alignment RLHF Multimodal Preference Dataset Benchmark

arXiv PDF

arXiv

Efficient Model-agnostic Alignment via Bayesian Persuasion *

Fengshuo Bai, Mingzhi Wang, Zhaowei Zhang, Boyuan Chen, Yinda Xu, Ying Wen, Yaodong Yang#

arXiv 2024

Bayesian Methods Alignment LLM Weak-to-Strong

arXiv PDF

arXiv

Leveraging Team Correlation for Approximating Equilibrium in Two-Team Zero-Sum Games

Naming Liu, Mingzhi Wang, Youzhi Zhang, Yaodong Yang, Bo An, Ying Wen

arXiv 2024

Nash Equilibrium Zero-Sum Games Team Games

arXiv PDF

medRxiv

Real-World Performance of Large Language Models in Emergency Department Chest Pain Triage

Xiangbin Meng, Jiaming Ji, Xiangyu Yan, Hua Xu, Jun Gao, Junhong Wang, Jingjia Wang, Xuliang Wang, Yuan-Geng-Shuo Wang, Wenyao Wang, Jing Chen, Kuo Zhang, Da Liu, Zifeng Qiu, Muzi Li, Chunli Shao, Yaodong Yang, Yi-Da Tang

medRxiv 2024

Medical AI LLM

DOI

arXiv

UniDexFPM: Universal Dexterous Functional Pre-grasp Manipulation via Diffusion Policy

Tianhao Wu, Yunchong Gan, Mingdong Wu, Jingbo Cheng, Yaodong Yang, Yixin Zhu, Hao Dong

arXiv 2024

Dexterous Manipulation Diffusion Policy Grasping UniDexGrasp

arXiv PDF

2023 46 篇

JSSSE

Editorial Special Issue on Simulation and AI *

Yijie Peng, Yaodong Yang#

Journal of Systems Science and Systems Engineering (JSSSE)

Social Simulation LLM Agents

DOI

NeurIPS

MultiReAct: Multimodal Tools Augmented Reasoning-Acting Traces for Embodied Agent Planning *

Zhouliang Yu, Jie Fu, Yao Mu, Chenguang Wang, Lin Shao, Yaodong Yang#

NeurIPS 2023 Workshop

LLM Agents Embodied AI Multimodal Chain-of-Thought Reward Modeling

OpenReview

CJE

A Deep Reinforcement Learning-driven Vine Copula Method for Correlation Structure Analysis of Mortgage *

Qinghao Wang, Yanling Peng, Yijie Peng, Yaodong Yang#

计量经济学报

Quantitative Finance Reinforcement Learning

DOI

JAAMAS

Carbon trading supply chain management based on constrained deep reinforcement learning *

Qinghao Wang, Yaodong Yang#

Journal of Autonomous Agents and Multi-Agent Systems (JAAMAS)

Quantitative Finance Supply Chain Reinforcement Learning Safe RL

DOI

MATH

Discrete information acquisition in financial markets

Jingrui Pan, Shancun Liu, Qiang Zhang, Yaodong Yang

Mathematics (MDPI)

Quantitative Finance Finance

DOI

TMC

Self-Supervised MAFENN for Classifying Low-labeled Distorted Images over Mobile Fading Channels

Yang Li, Fanglei Sun, Jingchen Hu, Chang Liu, Fan Wu, Kai Li, Ying Wen, Yaodong Yang, et al.

IEEE Transactions on Mobile Computing

Wireless ML Signal Processing

DOI

NeurIPS

BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset *

Jiaming Ji, Mickel Liu, Josef Dai, Xuehai Pan, Chi Zhang, Ce Bian, Boyuan Chen, Ruiyang Sun, Yizhou Wang, Yaodong Yang#

NeurIPS 2023

BeaverTails Preference Dataset Dataset Preference Learning Safety

arXiv PDF

MLJ

ReDMan: Reliable Dexterous Manipulation with Safe Reinforcement Learning *

Yiran Geng, Jiaming Ji, Yuanpei Chen, Haoran Geng, Fangwei Zhong, Yaodong Yang#

Machine Learning Journal

ReDMan Dexterous Manipulation Safe RL Robotics Reinforcement Learning

DOI

NeurIPS

Safety Gymnasium: A Unified Safe Reinforcement Learning Benchmark *

Jiaming Ji, Borong Zhang, Jiayi Zhou, Xuehai Pan, Weidong Huang, Ruiyang Sun, Yiran Geng, Yifan Zhong, Juntao Dai, Yaodong Yang#

NeurIPS 2023

Safety Gymnasium Safe RL Benchmark Reinforcement Learning Multi-Agent RL

arXiv S2

OpenReview

A Massively Parallel Benchmark for Safe Dexterous Manipulation *

Yiran Geng, Jiaming Ji, Yuanpei Chen, Long Yang, Yaodong Yang#

OpenReview 2023

Safe RL Dexterous Manipulation Benchmark Sim-to-Real Reinforcement Learning

OpenReview

CoRL

Dynamic Handover: Throw and Catch with Bimanual Hands

Binghao Huang, Yuanpei Chen, Tianyu Wang, Yuzhe Qin, Yaodong Yang, Nikolay Atanasov, Xiaolong Wang

CoRL 2023

Bimanual Dexterous Manipulation Robotics Sim-to-Real

arXiv PDF

ICRA

End-to-End Affordance Learning for Robotic Manipulation *

Yiran Geng, Boshi An, Haoran Geng, Yuanpei Chen, Yaodong Yang#, Hao Dong

ICRA 2023

Affordance Robotics

arXiv PDF

ICRA

GenDexGrasp: Generalizable Dexterous Grasping

Puhao Li, Tengyu Liu, Yuyang Li, Yiran Geng, Yixin Zhu, Yaodong Yang, Siyuan Huang

ICRA 2023

GenDexGrasp Dexterous Manipulation Grasping

arXiv PDF

JMLR

MARLlib: A Scalable and Efficient Multi-agent Reinforcement Learning Library *

Siyi Hu, Yifan Zhong, Minquan Gao, Weixun Wang, Hao Dong, Xiaodan Liang, Zhihui Li, Xiaojun Chang, Yaodong Yang#

Journal of Machine Learning Research (JMLR)

MARLlib Multi-Agent RL Reinforcement Learning

arXiv PDF

NSR

On the complexity of computing markov perfect equilibrium in general-sum stochastic games *

Xiaotie Deng, Ningyuan Li, David Henry Mguni, Jun Wang, Yaodong Yang#

National Science Review

Nash Equilibrium Stochastic Games Theory Multi-Agent RL

arXiv PDF S2

AIJ

Safe multi-agent reinforcement learning for multi-robot control *

Shangding Gu, Jakub Grudzien Kuba, Yuanpei Chen, Yali Du, Long Yang, Alois Knoll, Yaodong Yang#

Artificial Intelligence Journal (AIJ)

Multi-Agent RL Robotics Reinforcement Learning Safe RL

PDF S2

JMLR

TorchOpt: An Efficient Library for Differentiable Optimization *

Jie Ren, Xidong Feng, Bo Liu, Xuehai Pan, Yao Fu, Luo Mai, Yaodong Yang#

Journal of Machine Learning Research (JMLR)

Differentiable Optimization

arXiv PDF S2

ICCV

UniDexGrasp++: Improving Dexterous Grasping Policy Learning via Geometry-aware Curriculum and Iterative Generalist-Specialist Learning

Weikang Wan, Haoran Geng, Yun Liu, Zikang Shan, Yaodong Yang, Li Yi, He Wang

ICCV 2023 ★ Best Paper Finalist

UniDexGrasp Dexterous Manipulation Grasping

arXiv PDF

ICML

A Game-Theoretic Framework for Managing Risk in Multi-Agent Systems

Oliver Slumbers, David Henry Mguni, Stefano B. Blumberg, Stephen McAleer, Yaodong Yang, Jun Wang

ICML 2023

Game Theory Multi-Agent RL

arXiv PDF

Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence *

Simin Li, Jun Guo, Jingqiao Xiu, Yuwei Zheng, Pu Feng, Xin Yu, Jiakai Wang, Aishan Liu, Yaodong Yang#, Bo An, Wenjun Wu, Xianglong Liu

Neural Networks

Cooperative MARL Adversarial Attack Adversarial Robustness Multi-Agent RL Cooperation

arXiv PDF

AAAI

Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency *

Chuming Li, Jie Liu, Yinmin Zhang, Yuhong Wei, Yazhe Niu, Yaodong Yang#, Yu Liu, Wanli Ouyang

AAAI 2023

Cooperative MARL Multi-Agent RL Q-Learning Cooperation

arXiv PDF S2

USENIX

Distributed Reinforcement Learning with Dataflow Fragments

Huanzhou Zhu, Bo Zhao, Gang Chen, Weifeng Chen, Yijie Chen, Liang Shi, Yaodong Yang, Peter Pietzuch, Lei Chen

USENIX 2023

Distributed Systems Reinforcement Learning

arXiv PDF

ICML

GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models

Hanjing Wang, Man-Kit Sit, Congjie He, Ying Wen, Weinan Zhang, Jun Wang, Yaodong Yang, Luo Mai

ICML 2023

Reinforcement Learning Distributed Systems Sequence Modeling

arXiv PDF S2

NeurIPS

Hierarchical Multi-Agent Skill Discovery *

Mingyu Yang, Yaodong Yang#, Zhenbo Lu, Wengang Zhou, Houqiang Li

NeurIPS 2023

Multi-Agent RL Skill Learning Hierarchical RL

S2 NeurIPS

AAMAS

Is Nash Equilibrium Approximator Learnable?

Zhijian Duan, Wenhan Huang, Dinghuai Zhang, Yali Du, Jun Wang, Yaodong Yang, Xiaotie Deng

AAMAS 2023

Nash Equilibrium Game Theory Meta-RL Normal-form

arXiv PDF

TMLR

JiangJun: Mastering Xiangqi by Tackling Non-Transitivity in Two-Player Zero-Sum Games *

Yang Li, Kun Xiong, Yingping Zhang, Jiangcheng Zhu, Stephen McAleer, Wei Pan, Jun Wang, Zonghong Dai, Yaodong Yang#

Transactions on Machine Learning Research (TMLR)

Non-Transitivity Game AI Zero-Sum Games Self-Play Population-Based

arXiv PDF

OpenReview

Joint-predictive representations for multi-agent reinforcement learning

Mingxiao Feng, Wengang Zhou, Yaodong Yang, Houqiang Li

OpenReview 2023

Multi-Agent RL Representation Learning Cooperative MARL Sample Efficiency

OpenReview

FCS

Large sequence models for sequential decision-making: a survey

Muning Wen, Runji Lin, Hanjing Wang, Yaodong Yang, Ying Wen, Luo Mai, Jun Wang, Haifeng Zhang, Weinan Zhang

Frontiers of Computer Science (FCS)

Survey Sequence Modeling Decision Transformer Reinforcement Learning Foundation Models

arXiv PDF

AAAI

Learning to Shape Rewards using a Game of Two Partners *

David Henry Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez-Nieves, Wenbin Song, Feifei Tong, Matthew E. Taylor, Yaodong Yang#, et al.

AAAI 2023

Reward Shaping Game Theory

arXiv PDF

JMLR

MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning

Ming Zhou, Ziyu Wan, Hanjing Wang, Muning Wen, Runzhe Wu, Ying Wen, Yaodong Yang, Yong Yu, Jun Wang, Weinan Zhang

Journal of Machine Learning Research (JMLR)

MALib Population-Based Multi-Agent RL Reinforcement Learning PSRO

arXiv PDF

ICML

MANSA: Learning Fast and Slow in Multi-Agent Systems *

David Henry Mguni, Haojun Chen, Taher Jafferjee, Jianhong Wang, Longfei Yue, Xidong Feng, Stephen McAleer, Feifei Tong, Jun Wang, Yaodong Yang#

ICML 2023

Multi-Agent RL

arXiv PDF

NeurIPS

Multi-Agent First Order Constrained Optimization in Policy Space *

Youpeng Zhao, Yaodong Yang#, Zhenbo Lu, Wengang Zhou, Houqiang Li

NeurIPS 2023

Multi-Agent RL Safe RL Policy Gradient

S2 NeurIPS

MIR

Offline Pre-trained Multi-Agent Decision Transformer

Linghui Meng, Muning Wen, Chenyang Le, Xiyun Li, Dengpeng Xing, Weinan Zhang, Ying Wen, Haifeng Zhang, Jun Wang, Yaodong Yang, et al.

Machine Intelligence Research (MIR)

Multi-Agent RL Offline RL Decision Transformer Pre-training

PDF S2

JAAMAS

Online Markov Decision Processes with Non-oblivious Strategic Adversary *

Cong Le Dinh, David Henry Mguni, Long Tran-Thanh, Jun Wang, Yaodong Yang#

Journal of Autonomous Agents and Multi-Agent Systems (JAAMAS)

Adversarial Robustness MDP

arXiv PDF

NeurIPS

Policy Space Diversity for Non-Transitive Games

Jian Yao, Weiming Liu, Haobo Fu, Yaodong Yang, Stephen McAleer, Qiang Fu, Wei Yang

NeurIPS 2023

Non-Transitivity

arXiv PDF

ICLR

Quality-Similar Diversity via Population Based Reinforcement Learning

Shuang Wu, Jian Yao, Haobo Fu, Ye Tian, Chao Qian, Yaodong Yang, Qiang Fu, Yang Wei

ICLR 2023

Reinforcement Learning Diversity Population-Based

S2 OpenReview

ICML

Regret-Minimizing Double Oracle for Extensive-Form Games *

Xiaohang Tang, Stephen McAleer, Yaodong Yang#

ICML 2023

Extensive-Form Games PSRO

arXiv PDF

TNNLS

Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization

Simin Li, Ruixiao Xu, Jingqiao Xiu, Yuwei Zheng, Pu Feng, Yuqing Ma, Bo An, Yaodong Yang, Xianglong Liu

IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

Multi-Agent RL Reinforcement Learning Adversarial Robustness

arXiv PDF

AAAI

Subspace-Aware Exploration for Sparse-Reward Multi-Agent Tasks

Pei Xu, Junge Zhang, Qiyue Yin, Chao Yu, Yaodong Yang, Kaiqi Huang

AAAI 2023

Multi-Agent RL Exploration

DOI

NeurIPS

Team-PSRO for Learning Approximate TMECor in Large Team Games via Cooperative Reinforcement Learning

Stephen McAleer, Gabriele Farina, Gaoyue Zhou, Mingzhi Wang, Yaodong Yang, Tuomas Sandholm

NeurIPS 2023

PSRO Team Games Cooperation Reinforcement Learning

DOI

ECAI

Theoretically Guaranteed Policy Improvement Distilled from Model-Based Planning

Chuming Li, Ruonan Jia, Jie Liu, Yinmin Zhang, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang

ECAI 2023

Theory

arXiv PDF S2 DOI

arXiv

A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors *

Shangding Gu, Alap Kshirsagar, Yali Du, Guang Chen, Jan Peters, Alois Knoll, Yaodong Yang#

arXiv 2023

Safe RL Robotics Reinforcement Learning Value Alignment Embodied AI

arXiv PDF

arXiv

Baichuan 2: Open Large-scale Language Models

Aiyuan Yang, Bin Xiao, Bingning Wang, Borong Zhang, Ce Bian, Chao Yin, Chenxu Lv, Da Pan, Dian Wang, Dong Yan, Fan Yang, Fei Deng, Feng Wang, Feng Liu, Guangwei Ai, Guosheng Dong, Haizhou Zhao, Hang Xu, Haoze Sun, Hongda Zhang, Hui Liu, Jiaming Ji, Jian Xie, Juntao Dai, Kun Fang, Lei Su, Liang Song, Lifeng Liu, Liyun Ru, Luyao Ma, Mang Wang, Mickel Liu, MingAn Lin, Nuolan Nie, Peidong Guo, Ruiyang Sun, Tao Zhang, Tianpeng Li, Tianyu Li, Wei Cheng, Weipeng Chen, Xiangrong Zeng, Xiaochuan Wang, Xiaoxi Chen, Xin Men, Xin Yu, Xuehai Pan, Yanjun Shen, Yiding Wang, Yiyu Li, Youxin Jiang, Yuchen Gao, Yupeng Zhang, Zenan Zhou, Zhiying Wu, Yaodong Yang

arXiv 2023

LLM Pre-training Multilingual Foundation Models

arXiv PDF

OpenReview

Convergence Rate of Primal-Dual Approach to Constrained Reinforcement Learning

Long Yang, Li Shen, Pengfei Li, Yaodong Yang, Zhouchen Lin, Gang Pan

OpenReview 2023

Safe RL Theory Reinforcement Learning Policy Gradient

OpenReview

arXiv

Mixup-Augmented Meta-Learning for Sample-Efficient Fine-Tuning of Protein Simulators

Jingbang Chen, Yian Wang, Xingwei Qu, Shuangjia Zheng, Yaodong Yang, Hao Dong, Jie Fu

arXiv 2023

Protein Meta-Learning

arXiv PDF

arXiv

ValueDCG: Measuring Comprehensive Human Value Understanding Ability of Language Models *

Zhaowei Zhang, Fengshuo Bai, Jun Gao, Yaodong Yang#

arXiv 2023

LLM Value Alignment Benchmark

arXiv PDF

2022 27 篇

JSSC

Illiquidity comovement and market crisis *

Qingduo Zeng, Qiang Zhang, Shancun Liu, Yaodong Yang#

Journal of Systems Science and Complexity

Theory Quantitative Finance Game Theory

DOI

SSRN

Information Production, Information Acquisition and Price Informativeness *

Jingrui Pan, Shancun Liu, Qiang Zhang, Yaodong Yang#

SSRN 2022

Theory Quantitative Finance Mechanism Design

DOI

JSSC

Solving inventory management problems through deep reinforcement learning *

Qinghao Wang, Yijie Peng, Yaodong Yang#

Journal of Systems Science and Complexity (JSSSC)

Reinforcement Learning

S2 DOI

NeurIPS

Constrained Update Projection Approach to Safe Policy Optimization

Long Yang, Jiaming Ji, Juntao Dai, Linrui Zhang, Binbin Zhou, Pengfei Li, Yaodong Yang, Gang Pan

NeurIPS 2022

Safe RL Policy Gradient Reinforcement Learning

arXiv PDF S2

WISE

Debias the Black-Box: A Fair Ranking Framework via Knowledge Distillation

Zhitao Zhu, Shijing Si, Jianzong Wang, Yaodong Yang, Jing Xiao

WISE 2022

Fairness

arXiv PDF

NeurIPS

Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning *

Runze Liu, Fengshuo Bai, Yali Du, Yaodong Yang#

NeurIPS 2022

Meta-RL Preference Learning Reinforcement Learning

DOI

NeurIPS

MyoChallenge 2022: Learning contact-rich manipulation using a musculoskeletal hand

Vittorio Caggiano, Guillaume Durandau, Huwawei Wang, Alberto Chiappa, Alexander Mathis, Pablo Tano, Nisheet Patel, Yaodong Yang, et al.

NeurIPS 2022 Dataset

Robotics Dexterous Manipulation Benchmark

S2 PMLR

NeurIPS

Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning *

Yuanpei Chen, Tianhao Wu, Shengjie Wang, Xidong Feng, Jiechuan Jiang, Zongqing Lu, Stephen McAleer, Hao Dong, Song-Chun Zhu, Yaodong Yang#

NeurIPS 2022 Dataset

Bimanual Dexterous Manipulation Dataset Robotics Reinforcement Learning Benchmark

arXiv PDF S2

ICLR

A Game-Theoretic Approach for Improving Generalization Ability of TSP Solvers

Chenguang Wang, Yaodong Yang, Oliver Slumbers, Congying Han, Tiande Guo, Haifeng Zhang, Jun Wang

ICLR 2022 Workshop

Game Theory PSRO Zero-Sum Games

arXiv PDF

DAI

A Game-Theoretic Approach to Multi-Agent Trust Region Optimization

Ying Wen, Hui Chen, Yaodong Yang, Minne Li, Zheng Tian, Xu Chen, Jun Wang

DAI 2022

Trust Region Game Theory Multi-Agent RL Policy Gradient

arXiv PDF

arXiv

A Review of Safe Reinforcement Learning: Methods, Theory and Applications

Shangding Gu, Long Yang, Yali Du, Guang Chen, Florian Walter, Jun Wang, Yaodong Yang, Alois Knoll

arXiv 2022

Safe RL Survey Reinforcement Learning

arXiv PDF

NeurIPS

A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning *

Bo Liu, Xidong Feng, Jie Ren, Luo Mai, Rui Zhu, Haifeng Zhang, Jun Wang, Yaodong Yang#

NeurIPS 2022

Meta-RL Theory Reinforcement Learning Policy Gradient

arXiv PDF

NeurIPS

A Unified Diversity Measure for Multiagent Reinforcement Learning

Zongkai Liu, Chao Yu, Yaodong Yang, Zifan Wu, Yuan Li

NeurIPS 2022

Multi-Agent RL Reinforcement Learning Diversity

S2 DOI

NeurIPS

Contextual Transformer for Offline Meta Reinforcement Learning *

Runji Lin, Ye Li, Xidong Feng, Zhaowei Zhang, Xian Hong Wu Fung, Haifeng Zhang, Jun Wang, Yali Du, Yaodong Yang#

NeurIPS 2022 Workshop

Offline RL Meta-RL Decision Transformer Reinforcement Learning Pre-training Representation Learning

arXiv PDF

ICLR

LIGS: Learnable Intrinsic-Reward Generation Selection for Multi- Agent Learning

David Henry Mguni, Taher Jafferjee, Jianhong Wang, Oliver Slumbers, Nicolas Perez-Nieves, Feifei Tong, Li Yang, Jiangcheng Zhu, Yaodong Yang, Jun Wang

ICLR 2022

Multi-Agent RL Reward Shaping

arXiv PDF

NeurIPS

MATE: Benchmarking Multi-Agent Reinforcement Learning in Distributed Target Coverage Control *

Xuehai Pan, Mickel Liu, Fangwei Zhong, Yaodong Yang#, Song-Chun Zhu, Yizhou Wang

NeurIPS 2022 Dataset

Multi-Agent RL Benchmark Dataset Reinforcement Learning

DOI

ALGO

Measuring the Non-Transitivity in Chess *

Ricky Sanjaya, Jun Wang, Yaodong Yang#

Algorithms (MDPI)

Non-Transitivity Game Theory

arXiv PDF

NeurIPS

Multi-Agent Reinforcement Learning is a Sequence Modeling Problem *

Muning Wen, Jakub Grudzien Kuba, Runji Lin, Weinan Zhang, Ying Wen, Jun Wang, Yaodong Yang#

NeurIPS 2022

Multi-Agent RL Reinforcement Learning Decision Transformer

arXiv PDF

IJCAI

On the Convergence of Fictitious Play: A Decomposition Approach

Yurong Chen, Xiaotie Deng, Chenchen Li, David Henry Mguni, Jun Wang, Xiang Yan, Yaodong Yang

IJCAI 2022

Fictitious Play

arXiv PDF

TMLR

Online double oracle *

Le Cong Dinh, Yaodong Yang#, Stephen McAleer, Zheng Tian, Nicolas Perez-Nieves, Oliver Slumbers, David Henry Mguni, Haitham Bou Ammar, Jun Wang

Transactions on Machine Learning Research (TMLR)

Double Oracle

arXiv PDF

IROS

Scalable Model-based Policy Optimization for Decentralized Networked Systems *

Yali Du, Chengdong Ma, Yuchen Liu, Runji Lin, Hao Dong, Jun Wang, Yaodong Yang#

IROS 2022

Multi-Agent RL

arXiv PDF

ICLR

Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning *

Jakub Grudzien Kuba, Ruiqing Chen, Muning Wen, Ying Wen, Fanglei Sun, Jun Wang, Yaodong Yang#

ICLR 2022

Multi-Agent RL Reinforcement Learning HARL Policy Gradient

arXiv PDF

arXiv

Understanding Value Decomposition Algorithms in Deep Cooperative Multi-Agent Reinforcement Learning *

Zehao Dou, Jakub Grudzien Kuba, Yaodong Yang#

arXiv 2022

Cooperative MARL Multi-Agent RL Theory Credit Assignment

arXiv PDF

arXiv

Efficient Policy Space Response Oracles

Ming Zhou, Jingxiao Chen, Ying Wen, Weinan Zhang, Yaodong Yang, Yong Yu, Jun Wang

arXiv 2022

PSRO Nash Equilibrium Zero-Sum Games

arXiv PDF

arXiv

Heterogeneous-Agent Mirror Learning: A Continuum of Solutions to Cooperative MARL *

Jakub Grudzien Kuba, Xidong Feng, Shiyao Ding, Hao Dong, Jun Wang, Yaodong Yang#

arXiv 2022

HARL Multi-Agent RL Cooperation Cooperative MARL Nash Equilibrium

arXiv PDF

OpenReview

Learning to safely exploit a non-stationary opponent

Zheng Tian, Hang Ren, Yaodong Yang, Yuchen Sun, Ziqi Han, Ian Davies, Jun Wang

OpenReview 2022

Opponent Modeling Safe RL Multi-Agent RL Zero-Sum Games Nash Equilibrium Self-Play

OpenReview

arXiv

Settling the Communication Complexity for Distributed Offline Reinforcement Learning *

Juliusz Krysztof Ziomek, Jun Wang, Yaodong Yang#

arXiv 2022

Offline RL Theory Federated Learning Sample Efficiency Reinforcement Learning

arXiv PDF

2021 12 篇

AAMAS

Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems *

Yaodong Yang#, Jun Luo, Ying Wen, Oliver Slumbers, Daniel Graves, Haitham Bou Ammar, Jun Wang, Matthew E. Taylor

AAMAS 2021 ★ Best Blue-Sky Paper

Auto-Curriculum Multi-Agent RL Diversity

arXiv PDF

arXiv

DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention *

David Henry Mguni, Usman Islam, Yaqi Sun, Xiuling Zhang, Joel Jennings, Aivar Sootla, Changmin Yu, Ziyan Wang, Jun Wang, Yaodong Yang#

arXiv 2021

Safe RL Stochastic Games Multi-Agent RL Game Theory

arXiv PDF

AAAI

Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction

Hongyao Tang, Zhaopeng Meng, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Jianye Hao

AAAI 2021

Reinforcement Learning Representation Learning Actor-Critic

arXiv PDF

ICML

Learning in Nonzero-Sum Stochastic Games with Potentials

David Henry Mguni, Yutong Wu, Yali Du, Yaodong Yang, Ziyi Wang, Minne Li, Ying Wen, Joel Jennings, Jun Wang

ICML 2021

Stochastic Games Multi-Agent RL Game Theory Nash Equilibrium Policy Gradient

arXiv PDF

Thesis

Many-agent Reinforcement Learning

Yaodong Yang

PhD Thesis, UCL

Multi-Agent RL Game Theory Mean Field RL Survey Cooperative MARL

PDF UCL

ICML

Modelling Behavioural Diversity for Learning in Open-Ended Games

Nicolas Perez-Nieves, Yaodong Yang, Oliver Slumbers, David Henry Mguni, Ying Wen, Jun Wang

ICML 2021

Game Theory Diversity Population-Based Open-Ended Learning Nash Equilibrium

arXiv PDF

NeurIPS

Neural Auto-Curricula *

Xidong Feng, Oliver Slumbers, Ziyu Wan, Bo Liu, Stephen McAleer, Ying Wen, Jun Wang, Yaodong Yang#

NeurIPS 2021

Auto-Curriculum

arXiv PDF

OpenReview

Robust multi-agent reinforcement learning driven by correlated equilibrium

Yizheng Hu, Kun Shao, Dong Li, Jianye Hao, Wulong Liu, Yaodong Yang, Jun Wang, Zhanxing Zhu

OpenReview 2021

Multi-Agent RL Adversarial Robustness Cooperative MARL Nash Equilibrium Game Theory

OpenReview

NeurIPS

Settling the Variance of Multi-Agent Policy Gradients *

Jakub Grudzien Kuba, Muning Wen, Linghui Meng, Shangding Gu, Haifeng Zhang, David Henry Mguni, Jun Wang, Yaodong Yang#

NeurIPS 2021

Multi-Agent RL Policy Gradient Theory

arXiv PDF

NeurIPS

Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games

Xiangyu Liu, Hangtian Jia, Ying Wen, Yujing Hu, Yingfeng Chen, Changjie Fan, Zhipeng Hu, Yaodong Yang

NeurIPS 2021

Zero-Sum Games

arXiv PDF

arXiv

Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment

Tianze Zhou, Fubiao Zhang, Kun Shao, Kai Li, Wenhan Huang, Jun Luo, Weixun Wang, Yaodong Yang, Hangyu Mao, Bin Wang, Dong Li, Wulong Liu, Jianye Hao

arXiv 2021

Cooperative MARL Multi-Agent RL Cooperation Credit Assignment

arXiv PDF

arXiv

Revisiting the Characteristics of Stochastic Gradient Noise and Dynamics *

Yixin Wu, Rui Luo, Chen Zhang, Jun Wang, Yaodong Yang#

arXiv 2021

Theory Reinforcement Learning

arXiv PDF

2020 11 篇

AAMAS

Sequential Advertising Agent with Interpretable User Hidden Intents

Zhaoqing Peng, Junqi Jin, Lan Luo, Yaodong Yang, Rui Luo, Jun Wang, Weinan Zhang, Miao Xu, Chuan Yu, Tiejian Luo, Han Li, Jian Xu, Kun Gai

AAMAS 2020

Reinforcement Learning Interpretability Representation Learning

PDF DOI

EJOR

Can Deep Learning Predict Risky Retail Investors? A Case Study in Financial Risk Behavior Forecasting

A. Kim, Yaodong Yang, S. Lessmann, T. Ma, M.-C. Sung, J. E. V. Johnson

European Journal of Operational Research (EJOR)

Finance

arXiv PDF

CIKM

Learning to Infer User Hidden States for Online Sequential Advertising

Zhaoqing Peng, Junqi Jin, Lan Luo, Yaodong Yang, Rui Luo, Jun Wang, Weinan Zhang, Haiyang Xu, Miao Xu, Chuan Yu, Tiejian Luo, Han Li, Jian Xu, Kun Gai

CIKM 2020

Reinforcement Learning Representation Learning

arXiv PDF

JSSC

Order Execution Probability and Order Queue in Limit Order Markets *

Qiang Zhang, Chao Wang, Shancun Liu, Yaodong Yang#

Journal of Systems Science and Complexity (JSSC)

Theory Quantitative Finance

DOI

NeurIPS

Replica-exchange Nose-Hoover dynamics for Bayesian learning on large datasets

Rui Luo, Qiang Zhang, Yaodong Yang, Jun Wang

NeurIPS 2020

Theory Sample Efficiency Exploration

arXiv PDF

CoRL

SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving

Ming Zhou*, Jun Luo*, Julian Villella*, Yaodong Yang*, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Aurora Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Dong Chen, Zhengbang Zhu, Nhat Nguyen, Mohamed Elsayed, Kun Shao, Sanjeevan Ahilan, Baokuan Zhang, Jiannan Wu, Zhengang Fu, Kasra Rezaee, Peyman Yadmellat, Mohsen Rohani, Nicolas Perez-Nieves, Yihan Ni, Seyedershad Banijamali, Alexander Cowen Rivers, Zheng Tian, Daniel Palenicek, Haitham Bou Ammar, Hongbo Zhang, Wulong Liu, Jianye Hao, Jun Wang (* Equal Contribution)

CoRL 2020 ★ Best System Paper

SMARTS Autonomous Driving Multi-Agent RL

arXiv PDF

AAAI

Bi-level Actor-Critic for Multi-agent Coordination

Haifeng Zhang, Weizhe Chen, Zeren Huang, Minne Li, Yaodong Yang, Weinan Zhang, Jun Wang

AAAI 2020

Multi-Agent RL Actor-Critic Game Theory

arXiv PDF

arXiv

Game-Theoretic Multiagent Reinforcement Learning

Yaodong Yang, Chengdong Ma, Zihan Ding, Stephen McAleer, Chi Jin, Jun Wang, Tuomas Sandholm

arXiv 2020

Multi-Agent RL Game Theory Survey Nash Equilibrium Stochastic Games Self-Play PSRO

arXiv PDF

IJCAI

Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning

Ying Wen, Yaodong Yang, Rui Luo, Jun Wang

IJCAI 2020

Multi-Agent RL Opponent Modeling Game Theory

arXiv PDF

ICML

Multi-Agent Determinantal Q-Learning

Yaodong Yang, Ying Wen, Jun Wang, Liheng Chen, Kun Shao, David Henry Mguni, Weinan Zhang

ICML 2020

Multi-Agent RL Q-Learning Determinantal Point Processes Cooperative MARL Coordination

arXiv PDF

AAMAS

αα-Rank: Practically Scaling α-Rank through Stochastic Optimisation

Yaodong Yang, Rasul Tutunov, Phu Sakulwongtana, Haitham Bou Ammar

AAMAS 2020

Alpha-Rank Game Theory Nash Equilibrium

arXiv PDF

2019 4 篇

ICASSP

Adversarial Variational Bayes Methods for Tweedie Compound Poisson Mixed Models

Yaodong Yang, Rui Luo, Yuanyuan Liu

ICASSP 2019

Theory Quantitative Finance

arXiv PDF

WWW

Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning

Minne Li, Zhiwei (Tony) Qin, Yan Jiao, Yaodong Yang, Zhichen Gong, Jun Wang, Chenxi Wang, Guobin Wu, Jieping Ye

WWW 2019

Mean Field RL Multi-Agent RL Reinforcement Learning

arXiv PDF

DAI

Factorized Q-learning for large-scale multi-agent systems

Ming Zhou, Yong Chen, Ying Wen, Yaodong Yang, Yufeng Su, Weinan Zhang, Dell Zhang, Jun Wang

DAI 2019

Multi-Agent RL Q-Learning

arXiv PDF

ICLR

Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning

Yaodong Yang, Ying Wen, Jun Wang, Liheng Chen, Kun Shao, Xinbing Mi, Wei Pan

ICLR 2019

Multi-Agent RL Reinforcement Learning Opponent Modeling Actor-Critic

arXiv PDF

2018 5 篇

NeurIPS

Benchmarking Deep Sequential Models on Volatility Predictions for Financial Time Series

et al. · Yaodong Yang

NeurIPS 2018 Workshop

Benchmark Theory

arXiv PDF

CJE

Information Acquisition: Fundamental and Non-Fundamental *

Qingduo Zeng, Shancun Liu, Qiang Zhang, Yaodong Yang#

China Journal of Econometrics

Game Theory Theory Quantitative Finance

DOI

NeurIPS

Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning

Rui Luo, Jianhong Wang, Yaodong Yang, Jun Wang, Zhanxing Zhu

NeurIPS 2018

Bayesian Methods

arXiv PDF

ICML

Mean Field Multi-Agent Reinforcement Learning

Yaodong Yang, Rui Luo, Minne Li, Ming Zhou, Weinan Zhang, Jun Wang

ICML 2018 Long Oral

Mean Field RL Multi-Agent RL Reinforcement Learning Nash Equilibrium Q-Learning Actor-Critic

arXiv PDF

AAMAS

A Study of AI Population Dynamics with Million-agent Reinforcement Learning

Yaodong Yang, Lantao Yu, Yiwei Bai, Jun Wang, Weinan Zhang, Ying Wen, Yong Yu

AAMAS 2018

Reinforcement Learning Multi-Agent RL Social Simulation Biology

arXiv PDF

2017 2 篇

NeurIPS

Inferring tweedie compound poisson mixed models with adversarial variational methods

Yaodong Yang, Rui Luo, Reza Khorshidi, Yuanyuan Liu

NeurIPS 2017 Workshop

Theory Quantitative Finance

arXiv PDF S2

NeurIPS

Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level Coordination in Learning to Play StarCraft Combat Games

Peng Peng, Quan Yuan, Ying Wen, Yaodong Yang, Zhenkun Tang, Haitao Long, Jun Wang

NeurIPS 2017 Workshop

Multi-Agent RL Cooperative MARL Cooperation Actor-Critic

arXiv PDF

2013 1 篇

CIBCB

miRNA target prediction based on gene ontology

Ning Wang, Y. Wang, Yaodong Yang, Yi Shen, Ao Li

IEEE Symp. Computational Intelligence in Bioinformatics & Computational Biology

Biology Theory

DOI