Yaodong Yang - RankMe

336 papers A* 71A 12B 2Misc 4Journal 230Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AI Alignment: A Contemporary Survey. ACM Comput. Surv. 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 Ng, Brian Tse, Jie Fu, Stephen McAleer, Yanfeng Wang, Mingchuan Yang, Yunhuai Liu, Yizhou Wang, Song-Chun Zhu, Yike Guo, Yaodong Yang, Wen Gao
2026	J	`jnl`	Accelerating Robotic Reinforcement Learning with Agent Guidance. CoRR Haojun Chen, Zili Zou, Chengdong Ma, Yaoxiang Pu, Haotong Zhang, Yuanpei Chen, Yaodong Yang
2026	J	`jnl`	Align Once, Benefit Multilingually: Enforcing Multilingual Consistency for LLM Safety Alignment. CoRR Yuyan Bu, Xiaohao Liu, ZhaoXing Ren, Yaodong Yang, Juntao Dai
2026	J	`jnl`	Beyond Self-Interest: Modeling Social-Oriented Motivation for Human-like Multi-Agent Interactions. CoRR Jingzhe Lin, Ceyao Zhang, Yaodong Yang, Yizhou Wang, Song-Chun Zhu, Fangwei Zhong
2026	J	`jnl`	CABTO: Context-Aware Behavior Tree Grounding for Robot Manipulation. CoRR Yishuai Cai, Xinglin Chen, Yunxin Mao, Kun Hu, Minglong Li, Yaodong Yang, Yuanpei Chen
2026	J	`jnl`	CDF-Glove: A Cable-Driven Force Feedback Glove for Dexterous Teleoperation. CoRR Huayue Liang, Ruochong Li, Yaodong Yang, Long Zeng, Yuanpei Chen, Xueqian Wang
2026	J	`jnl`	Computing ex ante equilibrium in heterogeneous zero-sum team game. Frontiers Comput. Sci. Naming Liu, Mingzhi Wang, Xihuai Wang, Weinan Zhang, Yaodong Yang, Youzhi Zhang, Bo An, Ying Wen
2026	A*	`conf`	DexGraspVLA: A Vision-Language-Action Framework Towards General Dexterous Grasping. AAAI 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
2026	J	`jnl`	DexKnot: Generalizable Visuomotor Policy Learning for Dexterous Bag-Knotting Manipulation. CoRR Jiayuan Zhang, Ruihai Wu, Haojun Chen, Yuran Wang, Yifan Zhong, Ceyao Zhang, Yaodong Yang, Yuanpei Chen
2026	J	`jnl`	Does LLM Alignment Really Need Diversity? An Empirical Study of Adapting RLVR Methods for Moral Reasoning. CoRR Zhaowei Zhang, Xiaohan Liu, Xuekai Zhu, Junchao Huang, Ceyao Zhang, Zhiyuan Feng, Yaodong Yang, Xiaoyuan Yi, Xing Xie
2026	J	`jnl`	ECO: Energy-Constrained Optimization With Reinforcement Learning for Humanoid Walking. IEEE Trans Autom. Sci. Eng. Weidong Huang, Jingwen Zhang, Jiongye Li, Shibowen Zhang, Jiayang Wu, Jiayi Wang, Hangxin Liu, Yaodong Yang, Yao Su
2026	J	`jnl`	ECO: Energy-Constrained Optimization with Reinforcement Learning for Humanoid Walking. CoRR Weidong Huang, Jingwen Zhang, Jiongye Li, Shibowen Zhang, Jiayang Wu, Jiayi Wang, Hangxin Liu, Yaodong Yang, Yao Su
2026	J	`jnl`	Enhance the Safety in Reinforcement Learning by ADRC Lagrangian Methods. CoRR Mingxu Zhang, Huicheng Zhang, Jiaming Ji, Yaodong Yang, Ying Sun
2026	J	`jnl`	Evolving Deception: When Agents Evolve, Deception Wins. CoRR Zonghao Ying, Haowen Dai, Tianyuan Zhang, Yisong Xiao, Quanchen Zou, Aishan Liu, Jian Yang, Yaodong Yang, Xianglong Liu
2026	J	`jnl`	FormalJudge: A Neuro-Symbolic Paradigm for Agentic Oversight. CoRR Jiayi Zhou, Yang Sheng, Hantao Lou, Yaodong Yang, Jie Fu
2026	J	`jnl`	Heterogeneous Agent Collaborative Reinforcement Learning. CoRR Zhixia Zhang, Zixuan Huang, Xin Xia, Deqing Wang, Fuzhen Zhuang, Shuai Ma, Ning Ding, Yaodong Yang, Jianxin Li, Yikun Ban
2026	J	`jnl`	MT-dyna: A framework for evaluating multi-turn capabilities of LLMs. Appl. Soft Comput. Jun Gao, Junlin Cui, Anwen Yang, Yiqi Tong, Huijia Wu, Xiangzheng Zhang, Yaodong Yang, Zhaofeng He
2026	J	`jnl`	MVR: Multi-view Video Reward Shaping for Reinforcement Learning. CoRR Lirui Luo, Guoxi Zhang, Hongming Xu, Yaodong Yang, Cong Fang, Qing Li
2026	J	`jnl`	RMBench: Memory-Dependent Robotic Manipulation Benchmark with Insights into Policy Design. CoRR 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
2026	J	`jnl`	Resilient Multi-Agent Reinforcement Learning for Tiered Mixed Autonomy. IEEE Trans. Intell. Transp. Syst. Xin Gao, Xiaoqiang Meng, Chengdong Ma, Zhaoyang Ma, Yaodong Yang, Xueyuan Li, Lihua Xie
2026	J	`jnl`	ShuttleEnv: An Interactive Data-Driven RL Environment for Badminton Strategy Modeling. CoRR Ang Li, Xinyang Gong, Bozhou Chen, Yunlong Lu, Jiaming Ji, Yongyi Wang, Yaodong Yang, Wenxin Li
2026	J	`jnl`	Stable Reasoning, Unstable Responses: Mitigating LLM Deception via Stability Asymmetry. CoRR Guoxi Zhang, Jiawei Chen, Tianzhuo Yang, Lang Qin, Juntao Dai, Yaodong Yang, Jingwei Yi
2026	J	`jnl`	System Design for Maintaining Internal State Consistency in Long-Horizon Robotic Tabletop Games. CoRR 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
2026	J	`jnl`	VISA: Value Injection via Shielded Adaptation for Personalized LLM Alignment. CoRR Jiawei Chen, Tianzhuo Yang, Guoxi Zhang, Jiaming Ji, Yaodong Yang, Juntao Dai
2026	J	`jnl`	Your Group-Relative Advantage Is Biased. CoRR 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
2025	J	`jnl`	A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment. CoRR 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, Hao Wu, Minghe Wang, Fan Zhang, Junfeng Fang, Chengwei Liu, Yifan Zhang, Qiankun Li, Chongye Guo, Yalan Qin, Yi Ding, Donghai Hong, Jiaming Ji, Xinfeng Li, Yifan Jiang, Dongxia Wang, Yihao Huang, Yufei Guo, Jen-tse Huang, Yanwei Yue, Wenke Huang, Guancheng Wan, Tianlin 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
2025	J	`jnl`	A Game-Theoretic Negotiation Framework for Cross-Cultural Consensus in LLMs. CoRR Guoxi Zhang, Jiawei Chen, Tianzhuo Yang, Jiaming Ji, Yaodong Yang, Juntao Dai
2025	J	`jnl`	A Survey on Vision-Language-Action Models: An Action Tokenization Perspective. CoRR 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
2025	—	`conf`	A Unified Framework for Multi-Stage Decision Optimization with Deep Reinforcement Learning and Foundation Models. CASE Qinghao Wang, Jinyang Jiang, Xiaotian Liu, Tao Ren, Yi Zheng, Cheng Zhang, Yaodong Yang, Yijie Peng
2025	J	`jnl`	AI Deception: Risks, Dynamics, and Controls. CoRR 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, Jian Yang, 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
2025	A	`conf`	Adaptive Visuo-Tactile Fusion with Predictive Force Attention for Dexterous Manipulation. IROS Jinzhou Li, Tianhao Wu, Jiyao Zhang, Zeyuan Chen, Haotian Jin, Mingdong Wu, Yujun Shen, Yaodong Yang, Hao Dong
2025	J	`jnl`	Adaptive Visuo-Tactile Fusion with Predictive Force Attention for Dexterous Manipulation. CoRR Jinzhou Li, Tianhao Wu, Jiyao Zhang, Zeyuan Chen, Haotian Jin, Mingdong Wu, Yujun Shen, Yaodong Yang, Hao Dong
2025	A*	`conf`	Amulet: ReAlignment During Test Time for Personalized Preference Adaptation of LLMs. ICLR Zhaowei Zhang, Fengshuo Bai, Qizhi Chen, Chengdong Ma, Mingzhi Wang, Haoran Sun, Zilong Zheng, Yaodong Yang
2025	J	`jnl`	Amulet: ReAlignment During Test Time for Personalized Preference Adaptation of LLMs. CoRR Zhaowei Zhang, Fengshuo Bai, Qizhi Chen, Chengdong Ma, Mingzhi Wang, Haoran Sun, Zilong Zheng, Yaodong Yang
2025	J	`jnl`	Approximating N-Player Nash Equilibrium through Gradient Descent. CoRR Dongge Wang, Xiang Yan, Zehao Dou, Wenhan Huang, Yaodong Yang, Xiaotie Deng
2025	J	`jnl`	Are Your Agents Upward Deceivers? CoRR 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
2025	J	`jnl`	Attacking cooperative multi-agent reinforcement learning by adversarial minority influence. Neural Networks Simin Li, Jun Guo, Jingqiao Xiu, Yuwei Zheng, Pu Feng, Xin Yu, Jiakai Wang, Aishan Liu, Yaodong Yang, Bo An, Wenjun Wu, Xianglong Liu
2025	—	`conf`	Benchmarking Multi-National Value Alignment for Large Language Models. ACL (Findings) Chengyi Ju, Weijie Shi, Chengzhong Liu, Jiaming Ji, Jipeng Zhang, Ruiyuan Zhang, Jiajie Xu, Yaodong Yang, Sirui Han, Yike Guo
2025	J	`jnl`	Benchmarking Multi-National Value Alignment for Large Language Models. CoRR Weijie Shi, Chengyi Ju, Chengzhong Liu, Jiaming Ji, Jipeng Zhang, Ruiyuan Zhang, Jia Zhu, Jiajie Xu, Yaodong Yang, Sirui Han, Yike Guo
2025	—	`conf`	Boosting Policy and Process Reward Models with Monte Carlo Tree Search in Open-Domain QA. ACL (Findings) 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
2025	J	`jnl`	Can large language models independently complete tasks? A dynamic evaluation framework for multi-turn task planning and completion. Neurocomputing Jun Gao, Junlin Cui, Huijia Wu, Liuyu Xiang, Han Zhao, Xiangang Li, Meng Fang, Yaodong Yang, Zhaofeng He
2025	A	`conf`	Carbon Trading Supply Chain Management Based on Constrained Deep Reinforcement Learning. AAMAS Qinghao Wang, Yaodong Yang
2025	J	`jnl`	ClutterDexGrasp: A Sim-to-Real System for General Dexterous Grasping in Cluttered Scenes. CoRR Zeyuan Chen, Qiyang Yan, Yuanpei Chen, Tianhao Wu, Jiyao Zhang, Zihan Ding, Jinzhou Li, Yaodong Yang, Hao Dong
2025	J	`jnl`	Constrained Language Model Policy Optimization via Risk-aware Stepwise Alignment. CoRR Lijun Zhang, Lin Li, Wei Wei, Yajie Qi, Huizhong Song, Jun Wang, Yaodong Yang, Jiye Liang
2025	J	`jnl`	Debate with Images: Detecting Deceptive Behaviors in Multimodal Large Language Models. CoRR Sitong Fang, Shiyi Hou, Kaile Wang, Boyuan Chen, Donghai Hong, Jiayi Zhou, Josef Dai, Yaodong Yang, Jiaming Ji
2025	J	`jnl`	DexFlyWheel: A Scalable and Self-improving Data Generation Framework for Dexterous Manipulation. CoRR Kefei Zhu, Fengshuo Bai, YuanHao Xiang, Yishuai Cai, Xinglin Chen, Ruochong Li, Xingtao Wang, Hao Dong, Yaodong Yang, Xiaopeng Fan, Yuanpei Chen
2025	J	`jnl`	DexGraspVLA: A Vision-Language-Action Framework Towards General Dexterous Grasping. CoRR Yifan Zhong, Xuchuan Huang, Ruochong Li, Ceyao Zhang, Yitao Liang, Yaodong Yang, Yuanpei Chen
2025	J	`jnl`	Dexterous Non-Prehensile Manipulation for Ungraspable Object via Extrinsic Dexterity. CoRR Yuhan Wang, Yu Li, Yaodong Yang, Yuanpei Chen
2025	A*	`conf`	Differentiable Information Enhanced Model-Based Reinforcement Learning. AAAI Xiaoyuan Zhang, Xinyan Cai, Bo Liu, Weidong Huang, Song-Chun Zhu, Siyuan Qi, Yaodong Yang
2025	J	`jnl`	Differentiable Information Enhanced Model-Based Reinforcement Learning. CoRR Xiaoyuan Zhang, Xinyan Cai, Bo Liu, Weidong Huang, Song-Chun Zhu, Siyuan Qi, Yaodong Yang
2025	J	`jnl`	Distributed Policy Space Response Oracles in Two-Player Zero-Sum Games. IEEE Trans. Neural Networks Learn. Syst. Hongsong Tang, Yingzhuo Liu, Letian Ni, Liuyu Xiang, Yaodong Yang, Ke Bi, Zhaofeng He
2025	A*	`conf`	Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models. ICLR Rui Ye, Jingyi Chai, Xiangrui Liu, Yaodong Yang, Yanfeng Wang, Siheng Chen
2025	J	`jnl`	Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning. CoRR 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
2025	A*	`conf`	Enhancing LLM-Based Social Bot via an Adversarial Learning Framework. EMNLP Fanqi Kong, Xiaoyuan Zhang, Xinyu Chen, Yaodong Yang, Song-Chun Zhu, Xue Feng
2025	J	`jnl`	Enhancing LLM-Based Social Bot via an Adversarial Learning Framework. CoRR Fanqi Kong, Xiaoyuan Zhang, Xinyu Chen, Yaodong Yang, Song-Chun Zhu, Xue Feng
2025	J	`jnl`	EuroCon: Benchmarking Parliament Deliberation for Political Consensus Finding. CoRR Zhaowei Zhang, Minghua Yi, Mengmeng Wang, Fengshuo Bai, Zilong Zheng, Yipeng Kang, Yaodong Yang
2025	A*	`conf`	Falcon: Fast Visuomotor Policies via Partial Denoising. ICML Haojun Chen, Minghao Liu, Chengdong Ma, Xiaojian Ma, Zailin Ma, Huimin Wu, Yuanpei Chen, Yifan Zhong, Mingzhi Wang, Qing Li, Yaodong Yang
2025	J	`jnl`	Falcon: Fast Visuomotor Policies via Partial Denoising. CoRR Haojun Chen, Minghao Liu, Xiaojian Ma, Zailin Ma, Huimin Wu, Chengdong Ma, Yuanpei Chen, Yifan Zhong, Mingzhi Wang, Qing Li, Yaodong Yang
2025	J	`jnl`	Fault Tolerant Multi-Agent Learning with Adversarial Budget Constraints. CoRR David Mguni, Yaqi Sun, Haojun Chen, Amir Darabi, Larry Olanrewaju Orimoloye, Yaodong Yang
2025	J	`jnl`	Finding Kissing Numbers with Game-theoretic Reinforcement Learning. CoRR Chengdong Ma, Théo Tao Zhaowei, Pengyu Li, Minghao Liu, Haojun Chen, Zihao Mao, Yuan Cheng, Yuan Qi, Yaodong Yang
2025	J	`jnl`	From Strangers to Assistants: Fast Desire Alignment for Embodied Agent-User Adaptation. CoRR Yuanfei Wang, Xinju Huang, Fangwei Zhong, Yaodong Yang, Yizhou Wang, Yuanpei Chen, Hao Dong
2025	J	`jnl`	Generative RLHF-V: Learning Principles from Multi-modal Human Preference. CoRR Jiayi Zhou, Jiaming Ji, Boyuan Chen, Jiapeng Sun, Wenqi Chen, Donghai Hong, Sirui Han, Yike Guo, Yaodong Yang
2025	J	`jnl`	Goal Discovery with Causal Capacity for Efficient Reinforcement Learning. CoRR Yan Yu, Yaodong Yang, Zhengbo Lu, Chengdong Ma, Wengang Zhou, Houqiang Li
2025	—	`conf`	Heterogeneous Value Alignment Evaluation for Large Language Models. AGI (2) Zhaowei Zhang, Ceyao Zhang, Nian Liu, Siyuan Qi, Ziqi Rong, Song-Chun Zhu, Yaodong Yang
2025	J	`jnl`	Hi-Reco: High-Fidelity Real-Time Conversational Digital Humans. CoRR Hongbin Huang, Junwei Li, Tianxin Xie, Zhuang Li, Cekai Weng, Yaodong Yang, Yue Luo, Li Liu, Jing Tang, Zhijing Shao, Zeyu Wang
2025	A	`conf`	Hierarchical Multi-Agent Framework for Dynamic Macroeconomic Modelling Using Large Language Models. AAMAS Zhixun Chen, Zijing Shi, Yaodong Yang, Meng Fang, Yali Du
2025	A*	`conf`	In-Context Editing: Learning Knowledge from Self-Induced Distributions. ICLR Siyuan Qi, Bangcheng Yang, Kailin Jiang, Xiaobo Wang, Jiaqi Li, Yifan Zhong, Yaodong Yang, Zilong Zheng
2025	J	`jnl`	InterMT: Multi-Turn Interleaved Preference Alignment with Human Feedback. CoRR Boyuan Chen, Donghai Hong, Jiaming Ji, Jiacheng Zheng, Bowen Dong, Jiayi Zhou, Kaile Wang, Juntao Dai, Xuyao Wang, Wenqi Chen, Qirui Zheng, Wenxin Li, Sirui Han, Yike Guo, Yaodong Yang
2025	J	`jnl`	J1: Exploring Simple Test-Time Scaling for LLM-as-a-Judge. CoRR Chi-Min Chan, Chunpu Xu, Jiaming Ji, Zhen Ye, Pengcheng Wen, Chunyang Jiang, Yaodong Yang, Wei Xue, Sirui Han, Yike Guo
2025	J	`jnl`	JARVIS-1: Open-World Multi-Task Agents With Memory-Augmented Multimodal Language Models. IEEE Trans. Pattern Anal. Mach. Intell. Zihao Wang, Shaofei Cai, Anji Liu, Yonggang Jin, Jinbing Hou, Bowei Zhang, Haowei Lin, Zhaofeng He, Zilong Zheng, Yaodong Yang, Xiaojian Ma, Yitao Liang
2025	J	`jnl`	LLMs Know More Than Words: A Genre Study with Syntax, Metaphor & Phonetics. CoRR Weiye Shi, Zhaowei Zhang, Shaoheng Yan, Yaodong Yang
2025	—	`conf`	Language Models Resist Alignment: Evidence From Data Compression. ACL (1) Jiaming Ji, Kaile Wang, Tianyi Alex Qiu, Boyuan Chen, Jiayi Zhou, Changye Li, Hantao Lou, Josef Dai, Yunhuai Liu, Yaodong Yang
2025	A*	`conf`	Learning Uniformly Distributed Embedding Clusters of Stylistic Skills for Physically Simulated Characters. ACM Multimedia Nian Liu, Zilong Zhang, Zi Wang, Tengyu Liu, Hongzhao Xie, Xinyi Tong, Libin Liu, Yaodong Yang, Zhaofeng He
2025	—	`conf`	Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability. NAACL (System Demonstrations) 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
2025	A*	`conf`	Magnetic Preference Optimization: Achieving Last-iterate Convergence for Language Model Alignment. ICLR Mingzhi Wang, Chengdong Ma, Qizhi Chen, Linjian Meng, Yang Han, Jiancong Xiao, Zhaowei Zhang, Jing Huo, Weijie J. Su, Yaodong Yang
2025	A	`conf`	Mean Field Correlated Imitation Learning. AAMAS Zhiyu Zhao, Chengdong Ma, Qirui Mi, Ning Yang, Xue Yan, Mengyue Yang, Haifeng Zhang, Jun Wang, Yaodong Yang
2025	J	`jnl`	Mitigating Deceptive Alignment via Self-Monitoring. CoRR Jiaming Ji, Wenqi Chen, Kaile Wang, Donghai Hong, Sitong Fang, Boyuan Chen, Jiayi Zhou, Juntao Dai, Sirui Han, Yike Guo, Yaodong Yang
2025	A*	`conf`	Mitigating Reward Over-Optimization in RLHF via Behavior-Supported Regularization. ICLR Juntao Dai, Taiye Chen, Yaodong Yang, Qian Zheng, Gang Pan
2025	J	`jnl`	Mitigating Reward Over-Optimization in RLHF via Behavior-Supported Regularization. CoRR Juntao Dai, Taiye Chen, Yaodong Yang, Qian Zheng, Gang Pan
2025	J	`jnl`	Model Evolution Framework with Genetic Algorithm for Multi-Task Reinforcement Learning. CoRR Yan Yu, Wengang Zhou, Yaodong Yang, Wanxuan Lu, Yingyan Hou, Houqiang Li
2025	J	`jnl`	Never Compromise to Vulnerabilities: A Comprehensive Survey on AI Governance. CoRR 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
2025	J	`jnl`	On Robustness of Vision-Language-Action Model against Multi-Modal Perturbations. CoRR Jianing Guo, Zhenhong Wu, Chang Tu, Yiyao Ma, Xiangqi Kong, Zhiqian Liu, Jiaming Ji, Shuning Zhang, Yuanpei Chen, Kai Chen, Qi Dou, Yaodong Yang, Xianglong Liu, Huijie Zhao, Weifeng Lv, Simin Li
2025	J	`jnl`	On the Generalization Properties of Learning the Random Feature Models with Learnable Activation Functions. CoRR Zailin Ma, Jiansheng Yang, Yaodong Yang
2025	—	`conf`	PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human Preference. ACL (1) Jiaming Ji, Donghai Hong, Borong Zhang, Boyuan Chen, Josef Dai, Boren Zheng, Tianyi Alex Qiu, Jiayi Zhou, Kaile Wang, Boxun Li, Sirui Han, Yike Guo, Yaodong Yang
2025	J	`jnl`	Prismatic World Model: Learning Compositional Dynamics for Planning in Hybrid Systems. CoRR Mingwei Li, Xiaoyuan Zhang, Chengwei Yang, Zilong Zheng, Yaodong Yang
2025	A*	`conf`	RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors. AAAI Fengshuo Bai, Runze Liu, Yali Du, Ying Wen, Yaodong Yang
2025	J	`jnl`	Re:Form - Reducing Human Priors in Scalable Formal Software Verification with RL in LLMs: A Preliminary Study on Dafny. CoRR Chuanhao Yan, Fengdi Che, Xuhan Huang, Xu Xu, Xin Li, Yizhi Li, Xingwei Qu, Jingzhe Shi, Zhuangzhuang He, Chenghua Lin, Yaodong Yang, Binhang Yuan, Hang Zhao, Yu Qiao, Bowen Zhou, Jie Fu
2025	J	`jnl`	ReDMan: reliable dexterous manipulation with safe reinforcement learning. Mach. Learn. Yiran Geng, Jiaming Ji, Yuanpei Chen, Haoran Geng, Fangwei Zhong, Yaodong Yang
2025	J	`jnl`	RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? CoRR 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
2025	J	`jnl`	Redefining Superalignment: From Weak-to-Strong Alignment to Human-AI Co-Alignment to Sustainable Symbiotic Society. CoRR 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
2025	J	`jnl`	Retrieval Dexterity: Efficient Object Retrieval in Clutters with Dexterous Hand. CoRR Fengshuo Bai, Yu Li, Jie Chu, Tawei Chou, Runchuan Zhu, Ying Wen, Yaodong Yang, Yuanpei Chen
2025	—	`conf`	Reward Generalization in RLHF: A Topological Perspective. ACL (Findings) Tianyi Alex Qiu, Fanzhi Zeng, Jiaming Ji, Dong Yan, Kaile Wang, Jiayi Zhou, Yang Han, Josef Dai, Xuehai Pan, Yaodong Yang
2025	J	`jnl`	Risk-aware Direct Preference Optimization under Nested Risk Measure. CoRR Lijun Zhang, Lin Li, Yajie Qi, Huizhong Song, Yaodong Yang, Jun Wang, Wei Wei
2025	—	`conf`	Roadmap on Incentive Compatibility for AI Alignment and Governance in Sociotechnical Systems. AGI (2) Zhaowei Zhang, Fengshuo Bai, Mingzhi Wang, Haoyang Ye, Chengdong Ma, Yaodong Yang
2025	J	`jnl`	RoboCOIN: An Open-Sourced Bimanual Robotic Data COllection for INtegrated Manipulation. CoRR Shihan Wu, Xuecheng Liu, Shaoxuan Xie, Pengwei Wang, Xinghang Li, Bowen Yang, Zhe Li, Kai Zhu, Hongyu Wu, Yiheng Liu, Zhaoye Long, Yue Wang, Chong Liu, Dihan Wang, Ziqiang Ni, Xiang Yang, You Liu, Ruoxuan Feng, Runtian Xu, 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
2025	J	`jnl`	RoboSafe: Safeguarding Embodied Agents via Executable Safety Logic. CoRR Le Wang, Zonghao Ying, Xiao Yang, Quanchen Zou, Zhenfei Yin, Tianlin Li, Jian Yang, Yaodong Yang, Aishan Liu, Xianglong Liu
2025	J	`jnl`	Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization. IEEE Trans. Neural Networks Learn. Syst. Simin Li, Ruixiao Xu, Jingqiao Xiu, Yuwei Zheng, Pu Feng, Yuqing Ma, Bo An, Yaodong Yang, Xianglong Liu
2025	A*	`conf`	SAE-V: Interpreting Multimodal Models for Enhanced Alignment. ICML Hantao Lou, Changye Li, Jiaming Ji, Yaodong Yang
2025	J	`jnl`	SAE-V: Interpreting Multimodal Models for Enhanced Alignment. CoRR Hantao Lou, Changye Li, Jiaming Ji, Yaodong Yang
2025	J	`jnl`	SIV-Bench: A Video Benchmark for Social Interaction Understanding and Reasoning. CoRR Fanqi Kong, Weiqin Zu, Xinyu Chen, Yaodong Yang, Song-Chun Zhu, Xue Feng
2025	J	`jnl`	Safe RLHF-V: Safe Reinforcement Learning from Human Feedback in Multimodal Large Language Models. CoRR 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
2025	J	`jnl`	SafeEditor: Unified MLLM for Efficient Post-hoc T2I Safety Editing. CoRR Ruiyang Zhang, Jiahao Luo, Xiaoru Feng, Qiufan Pang, Yaodong Yang, Juntao Dai
2025	—	`conf`	SafeLawBench: Towards Safe Alignment of Large Language Models. ACL (Findings) Chuxue Cao, Han Zhu, Jiaming Ji, Qichao Sun, Zhenghao Zhu, Yinyu Wu, Josef Dai, Yaodong Yang, Sirui Han, Yike Guo
2025	J	`jnl`	SafeLawBench: Towards Safe Alignment of Large Language Models. CoRR Chuxue Cao, Han Zhu, Jiaming Ji, Qichao Sun, Zhenghao Zhu, Yinyu Wu, Juntao Dai, Yaodong Yang, Sirui Han, Yike Guo
2025	J	`jnl`	SafeMT: Multi-turn Safety for Multimodal Language Models. CoRR Han Zhu, Juntao Dai, Jiaming Ji, Haoran Li, Chengkun Cai, Pengcheng Wen, Chi-Min Chan, Boyuan Chen, Yaodong Yang, Sirui Han, Yike Guo
2025	J	`jnl`	SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Safe Reinforcement Learning. CoRR Borong Zhang, Yuhao Zhang, Jiaming Ji, Yingshan Lei, Josef Dai, Yuanpei Chen, Yaodong Yang
2025	J	`jnl`	Scaling DRL for Decision Making: A Survey on Data, Network, and Training Budget Strategies. CoRR Yi Ma, Hongyao Tang, Chenjun Xiao, Yaodong Yang, Wei Wei, Jianye Hao, Jiye Liang
2025	A*	`conf`	Sequence to Sequence Reward Modeling: Improving RLHF by Language Feedback. AAAI Jiayi Zhou, Jiaming Ji, Josef Dai, Yaodong Yang
2025	J	`jnl`	Social World Model-Augmented Mechanism Design Policy Learning. CoRR Xiaoyuan Zhang, Yizhe Huang, Chengdong Ma, Zhixun Chen, Long Ma, Yali Du, Song-Chun Zhu, Yaodong Yang, Xue Feng
2025	A*	`conf`	Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction. AAAI Hantao Lou, Jiaming Ji, Kaile Wang, Yaodong Yang
2025	J	`jnl`	Stream Aligner: Efficient Sentence-Level Alignment via Distribution Induction. CoRR Hantao Lou, Jiaming Ji, Kaile Wang, Yaodong Yang
2025	J	`jnl`	TIMAR: Transition-informed representation for sample-efficient multi-agent reinforcement learning. Neural Networks Mingxiao Feng, Yaodong Yang, Wengang Zhou, Houqiang Li
2025	J	`jnl`	The Mirage of Multimodality: Where Truth is Tested and Honesty Unravels. CoRR Jiaming Ji, Sitong Fang, Wenjing Cao, Jiahao Li, Xuyao Wang, Juntao Dai, Chi-Min Chan, Sirui Han, Yike Guo, Yaodong Yang
2025	J	`jnl`	ThinkPatterns-21k: A Systematic Study on the Impact of Thinking Patterns in LLMs. CoRR Pengcheng Wen, Jiaming Ji, Chi-Min Chan, Juntao Dai, Donghai Hong, Yaodong Yang, Sirui Han, Yike Guo
2025	A*	`conf`	Towards Efficient Collaboration via Graph Modeling in Reinforcement Learning. AAAI Wenzhe Fan, Zishun Yu, Chengdong Ma, Changye Li, Yaodong Yang, Xinhua Zhang
2025	J	`jnl`	VLA-Arena: An Open-Source Framework for Benchmarking Vision-Language-Action Models. CoRR Borong Zhang, Jiahao Li, Jiachen Shen, Yishuai Cai, Yuhao Zhang, Yuanpei Chen, Juntao Dai, Jiaming Ji, Yaodong Yang
2025	J	`jnl`	Vulnerable Agent Identification in Large-Scale Multi-Agent Reinforcement Learning. CoRR Simin Li, Yuwei Zheng, Zihao Mao, Linhao Wang, Ruixiao Xu, Chengdong Ma, Xin Yu, Yuqing Ma, Qi Dou, Xin Wang, Jie Luo, Bo An, Yaodong Yang, Weifeng Lv, Xianglong Liu
2025	J	`jnl`	World Models Should Prioritize the Unification of Physical and Social Dynamics. CoRR Xiaoyuan Zhang, Chengdong Ma, Yizhe Huang, Weidong Huang, Siyuan Qi, Song-Chun Zhu, Xue Feng, Yaodong Yang
2024	A*	`conf`	A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning. AAAI Yinmin Zhang, Jie Liu, Chuming Li, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang
2024	A	`conf`	A Summary of Online Markov Decision Processes with Non-oblivious Strategic Adversary. AAMAS Le Cong Dinh, David Henry Mguni, Long Tran-Thanh, Jun Wang, Yaodong Yang
2024	J	`jnl`	A Survey on Self-play Methods in Reinforcement Learning. CoRR Ruize Zhang, Zelai Xu, Chengdong Ma, Chao Yu, Wei-Wei Tu, Shiyu Huang, Deheng Ye, Wenbo Ding, Yaodong Yang, Yu Wang
2024	J	`jnl`	ASP: Learn a Universal Neural Solver! IEEE Trans. Pattern Anal. Mach. Intell. Chenguang Wang, Zhouliang Yu, Stephen McAleer, Tianshu Yu, Yaodong Yang
2024	J	`jnl`	Adaptive pessimism via target Q-value for offline reinforcement learning. Neural Networks Jie Liu, Yinmin Zhang, Chuming Li, Yaodong Yang, Yu Liu, Wanli Ouyang
2024	J	`jnl`	Align Anything: Training All-Modality Models to Follow Instructions with Language Feedback. CoRR 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
2024	J	`jnl`	Aligner: Achieving Efficient Alignment through Weak-to-Strong Correction. CoRR Jiaming Ji, Boyuan Chen, Hantao Lou, Donghai Hong, Borong Zhang, Xuehai Pan, Juntao Dai, Yaodong Yang
2024	A*	`conf`	Aligner: Efficient Alignment by Learning to Correct. NeurIPS Jiaming Ji, Boyuan Chen, Hantao Lou, Donghai Hong, Borong Zhang, Xuehai Pan, Tianyi Qiu, Juntao Dai, Yaodong Yang
2024	A*	`conf`	AnySkill: Learning Open-Vocabulary Physical Skill for Interactive Agents. CVPR Jieming Cui, Tengyu Liu, Nian Liu, Yaodong Yang, Yixin Zhu, Siyuan Huang
2024	J	`jnl`	AnySkill: Learning Open-Vocabulary Physical Skill for Interactive Agents. CoRR Jieming Cui, Tengyu Liu, Nian Liu, Yaodong Yang, Yixin Zhu, Siyuan Huang
2024	J	`jnl`	Bi-DexHands: Towards Human-Level Bimanual Dexterous Manipulation. IEEE Trans. Pattern Anal. Mach. Intell. Yuanpei Chen, Yiran Geng, Fangwei Zhong, Jiaming Ji, Jiechuang Jiang, Zongqing Lu, Hao Dong, Yaodong Yang
2024	A*	`conf`	Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game. ICLR Simin Li, Jun Guo, Jingqiao Xiu, Ruixiao Xu, Xin Yu, Jiakai Wang, Aishan Liu, Yaodong Yang, Xianglong Liu
2024	J	`jnl`	Carbon trading supply chain management based on constrained deep reinforcement learning. Auton. Agents Multi Agent Syst. Qinghao Wang, Yaodong Yang
2024	A*	`conf`	CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents. ICLR Siyuan Qi, Shuo Chen, Yexin Li, Xiangyu Kong, Junqi Wang, Bangcheng Yang, Pring Wong, Yifan Zhong, Xiaoyuan Zhang, Zhaowei Zhang, Nian Liu, Yaodong Yang, Song-Chun Zhu
2024	J	`jnl`	CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents. CoRR Siyuan Qi, Shuo Chen, Yexin Li, Xiangyu Kong, Junqi Wang, Bangcheng Yang, Pring Wong, Yifan Zhong, Xiaoyuan Zhang, Zhaowei Zhang, Nian Liu, Wei Wang, Yaodong Yang, Song-Chun Zhu
2024	J	`jnl`	Computing Ex Ante Equilibrium in Heterogeneous Zero-Sum Team Games. CoRR Naming Liu, Mingzhi Wang, Xihuai Wang, Weinan Zhang, Yaodong Yang, Youzhi Zhang, Bo An, Ying Wen
2024	J	`jnl`	Correlated Mean Field Imitation Learning. CoRR Zhiyu Zhao, Ning Yang, Xue Yan, Haifeng Zhang, Jun Wang, Yaodong Yang
2024	A*	`conf`	Efficient Adaptation in Mixed-Motive Environments via Hierarchical Opponent Modeling and Planning. ICML Yizhe Huang, Anji Liu, Fanqi Kong, Yaodong Yang, Song-Chun Zhu, Xue Feng
2024	J	`jnl`	Efficient Adaptation in Mixed-Motive Environments via Hierarchical Opponent Modeling and Planning. CoRR Yizhe Huang, Anji Liu, Fanqi Kong, Yaodong Yang, Song-Chun Zhu, Xue Feng
2024	J	`jnl`	Efficient Model-agnostic Alignment via Bayesian Persuasion. CoRR Fengshuo Bai, Mingzhi Wang, Zhaowei Zhang, Boyuan Chen, Yinda Xu, Ying Wen, Yaodong Yang
2024	J	`jnl`	Efficient Preference-based Reinforcement Learning via Aligned Experience Estimation. CoRR Fengshuo Bai, Rui Zhao, Hongming Zhang, Sijia Cui, Ying Wen, Yaodong Yang, Bo Xu, Lei Han
2024	J	`jnl`	Emerging Safety Attack and Defense in Federated Instruction Tuning of Large Language Models. CoRR Rui Ye, Jingyi Chai, Xiangrui Liu, Yaodong Yang, Yanfeng Wang, Siheng Chen
2024	A*	`conf`	End-to-End Neuro-Symbolic Reinforcement Learning with Textual Explanations. ICML Lirui Luo, Guoxi Zhang, Hongming Xu, Yaodong Yang, Cong Fang, Qing Li
2024	J	`jnl`	Fusion-PSRO: Nash Policy Fusion for Policy Space Response Oracles. CoRR Jiesong Lian, Yucong Huang, Mingzhi Wang, Chengdong Ma, Yixue Hao, Ying Wen, Yaodong Yang
2024	—	`conf`	GIPUT: Maximizing Photo Coverage Efficiency for UAV Trajectory. APWeb/WAIM (1) Shaoting Feng, Qinya Li, Yaodong Yang, Fan Wu, Guihai Chen
2024	J	`jnl`	Grasp Multiple Objects With One Hand. IEEE Robotics Autom. Lett. Yuyang Li, Bo Liu, Yiran Geng, Puhao Li, Yaodong Yang, Yixin Zhu, Tengyu Liu, Siyuan Huang
2024	J	`jnl`	Heterogeneous-Agent Reinforcement Learning. J. Mach. Learn. Res. Yifan Zhong, Jakub Grudzien Kuba, Xidong Feng, Siyi Hu, Jiaming Ji, Yaodong Yang
2024	J	`jnl`	INSIGHT: End-to-End Neuro-Symbolic Visual Reinforcement Learning with Language Explanations. CoRR Lirui Luo, Guoxi Zhang, Hongming Xu, Yaodong Yang, Cong Fang, Qing Li
2024	J	`jnl`	In-Context Editing: Learning Knowledge from Self-Induced Distributions. CoRR Siyuan Qi, Bangcheng Yang, Kailin Jiang, Xiaobo Wang, Jiaqi Li, Yifan Zhong, Yaodong Yang, Zilong Zheng
2024	J	`jnl`	Incentive Compatibility for AI Alignment in Sociotechnical Systems: Positions and Prospects. CoRR Zhaowei Zhang, Fengshuo Bai, Mingzhi Wang, Haoyang Ye, Chengdong Ma, Yaodong Yang
2024	J	`jnl`	Language Models Resist Alignment. CoRR Jiaming Ji, Kaile Wang, Tianyi Qiu, Boyuan Chen, Jiayi Zhou, Changye Li, Hantao Lou, Yaodong Yang
2024	J	`jnl`	Learning Uniformly Distributed Embedding Clusters of Stylistic Skills for Physically Simulated Characters. CoRR Nian Liu, Libin Liu, Zilong Zhang, Zi Wang, Hongzhao Xie, Tengyu Liu, Xinyi Tong, Yaodong Yang, Zhaofeng He
2024	J	`jnl`	Leveraging Team Correlation for Approximating Equilibrium in Two-Team Zero-Sum Games. CoRR Naming Liu, Mingzhi Wang, Youzhi Zhang, Yaodong Yang, Bo An, Ying Wen
2024	J	`jnl`	Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability. CoRR 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, Tatsuki Kuribayashi, Cong Zeng, 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
2024	J	`jnl`	Magnetic Preference Optimization: Achieving Last-iterate Convergence for Language Models Alignment. CoRR Mingzhi Wang, Chengdong Ma, Qizhi Chen, Linjian Meng, Yang Han, Jiancong Xiao, Zhaowei Zhang, Jing Huo, Weijie J. Su, Yaodong Yang
2024	J	`jnl`	MaskMA: Towards Zero-Shot Multi-Agent Decision Making with Mask-Based Collaborative Learning. Trans. Mach. Learn. Res. Jie Liu, Yinmin Zhang, Chuming Li, Zhiyuan You, Zhanhui Zhou, Chao Yang, Yaodong Yang, Yu Liu, Wanli Ouyang
2024	A*	`conf`	Maximum Entropy Heterogeneous-Agent Reinforcement Learning. ICLR Jiarong Liu, Yifan Zhong, Siyi Hu, Haobo Fu, Qiang Fu, Xiaojun Chang, Yaodong Yang
2024	Misc	`conf`	Neural Attention Field: Emerging Point Relevance in 3D Scenes for One-Shot Dexterous Grasping. CoRL Qianxu Wang, Congyue Deng, Tyler Ga Wei Lum, Yuanpei Chen, Yaodong Yang, Jeannette Bohg, Yixin Zhu, Leonidas J. Guibas
2024	J	`jnl`	Neural Attention Field: Emerging Point Relevance in 3D Scenes for One-Shot Dexterous Grasping. CoRR Qianxu Wang, Congyue Deng, Tyler Ga Wei Lum, Yuanpei Chen, Yaodong Yang, Jeannette Bohg, Yixin Zhu, Leonidas J. Guibas
2024	Misc	`conf`	Object-Centric Dexterous Manipulation from Human Motion Data. CoRL Yuanpei Chen, Chen Wang, Yaodong Yang, C. Karen Liu
2024	J	`jnl`	Object-Centric Dexterous Manipulation from Human Motion Data. CoRR Yuanpei Chen, Chen Wang, Yaodong Yang, C. Karen Liu
2024	A*	`conf`	Off-Agent Trust Region Policy Optimization. IJCAI Ruiqing Chen, Xiaoyuan Zhang, Yali Du, Yifan Zhong, Zheng Tian, Fanglei Sun, Yaodong Yang
2024	J	`jnl`	OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research. J. Mach. Learn. Res. Jiaming Ji, Jiayi Zhou, Borong Zhang, Juntao Dai, Xuehai Pan, Ruiyang Sun, Weidong Huang, Yiran Geng, Mickel Liu, Yaodong Yang
2024	J	`jnl`	PKU-SafeRLHF: A Safety Alignment Preference Dataset for Llama Family Models. CoRR Jiaming Ji, Donghai Hong, Borong Zhang, Boyuan Chen, Josef Dai, Boren Zheng, Tianyi Qiu, Boxun Li, Yaodong Yang
2024	A*	`conf`	Panacea: Pareto Alignment via Preference Adaptation for LLMs. NeurIPS Yifan Zhong, Chengdong Ma, Xiaoyuan Zhang, Ziran Yang, Haojun Chen, Qingfu Zhang, Siyuan Qi, Yaodong Yang
2024	J	`jnl`	Panacea: Pareto Alignment via Preference Adaptation for LLMs. CoRR Yifan Zhong, Chengdong Ma, Xiaoyuan Zhang, Ziran Yang, Haojun Chen, Qingfu Zhang, Siyuan Qi, Yaodong Yang
2024	A*	`conf`	ProAgent: Building Proactive Cooperative Agents with Large Language Models. AAAI 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
2024	A*	`conf`	ProgressGym: Alignment with a Millennium of Moral Progress. NeurIPS Tianyi Qiu, Yang Zhang, Xuchuan Huang, Jasmine Xinze Li, Jiaming Ji, Yaodong Yang
2024	J	`jnl`	ProgressGym: Alignment with a Millennium of Moral Progress. CoRR Tianyi Qiu, Yang Zhang, Xuchuan Huang, Jasmine Xinze Li, Jiaming Ji, Yaodong Yang
2024	J	`jnl`	RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors. CoRR Fengshuo Bai, Runze Liu, Yali Du, Ying Wen, Yaodong Yang
2024	J	`jnl`	Random Feature Models with Learnable Activation Functions. CoRR Zailin Ma, Jiansheng Yang, Yaodong Yang
2024	B	`conf`	Remember the Past for Better Future: Memory-Augmented Offline RL. IJCNN Yue Zhang, Yaodong Yang, Zhenbo Lu, Wengang Zhou, Houqiang Li
2024	J	`jnl`	Rethinking Information Structures in RLHF: Reward Generalization from a Graph Theory Perspective. CoRR Tianyi Qiu, Fanzhi Zeng, Jiaming Ji, Dong Yan, Kaile Wang, Jiayi Zhou, Han Yang, Josef Dai, Xuehai Pan, Yaodong Yang
2024	A*	`conf`	STAS: Spatial-Temporal Return Decomposition for Solving Sparse Rewards Problems in Multi-agent Reinforcement Learning. AAAI Sirui Chen, Zhaowei Zhang, Yaodong Yang, Yali Du
2024	A*	`conf`	Safe RLHF: Safe Reinforcement Learning from Human Feedback. ICLR Josef Dai, Xuehai Pan, Ruiyang Sun, Jiaming Ji, Xinbo Xu, Mickel Liu, Yizhou Wang, Yaodong Yang
2024	A*	`conf`	Safe Reinforcement Learning using Finite-Horizon Gradient-based Estimation. ICML Juntao Dai, Yaodong Yang, Qian Zheng, Gang Pan
2024	J	`jnl`	Safe Reinforcement Learning using Finite-Horizon Gradient-based Estimation. CoRR Juntao Dai, Yaodong Yang, Qian Zheng, Gang Pan
2024	A*	`conf`	SafeDreamer: Safe Reinforcement Learning with World Models. ICLR Weidong Huang, Jiaming Ji, Chunhe Xia, Borong Zhang, Yaodong Yang
2024	A*	`conf`	SafeSora: Towards Safety Alignment of Text2Video Generation via a Human Preference Dataset. NeurIPS Juntao Dai, Tianle Chen, Xuyao Wang, Ziran Yang, Taiye Chen, Jiaming Ji, Yaodong Yang
2024	J	`jnl`	SafeSora: Towards Safety Alignment of Text2Video Generation via a Human Preference Dataset. CoRR Josef Dai, Tianle Chen, Xuyao Wang, Ziran Yang, Taiye Chen, Jiaming Ji, Yaodong Yang
2024	J	`jnl`	Sample-Efficient Regret-Minimizing Double Oracle in Extensive-Form Games. CoRR Xiaohang Tang, Chiyuan Wang, Chengdong Ma, Ilija Bogunovic, Stephen McAleer, Yaodong Yang
2024	A*	`conf`	Scalable Constrained Policy Optimization for Safe Multi-agent Reinforcement Learning. NeurIPS Lijun Zhang, Lin Li, Wei Wei, Huizhong Song, Yaodong Yang, Jiye Liang
2024	J	`jnl`	Self-Supervised MAFENN for Classifying Low-Labeled Distorted Images Over Mobile Fading Channels. IEEE Trans. Mob. Comput. Yang Li, Fanglei Sun, Jingchen Hu, Chang Liu, Fan Wu, Kai Li, Ying Wen, Zheng Tian, Yaodong Yang, Jiangcheng Zhu, Zhifeng Chen, Jun Wang, Yang Yang
2024	J	`jnl`	Sequence to Sequence Reward Modeling: Improving RLHF by Language Feedback. CoRR Jiayi Zhou, Jiaming Ji, Juntao Dai, Yaodong Yang
2024	J	`jnl`	Towards Efficient Collaboration via Graph Modeling in Reinforcement Learning. CoRR Wenzhe Fan, Zishun Yu, Chengdong Ma, Changye Li, Yaodong Yang, Xinhua Zhang
2024	J	`jnl`	UniDexFPM: Universal Dexterous Functional Pre-grasp Manipulation Via Diffusion Policy. CoRR Tianhao Wu, Yunchong Gan, Mingdong Wu, Jingbo Cheng, Yaodong Yang, Yixin Zhu, Hao Dong
2023	A*	`conf`	A Game-Theoretic Framework for Managing Risk in Multi-Agent Systems. ICML Oliver Slumbers, David Henry Mguni, Stefano B. Blumberg, Stephen Marcus McAleer, Yaodong Yang, Jun Wang
2023	J	`jnl`	A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors. CoRR Shangding Gu, Alap Kshirsagar, Yali Du, Guang Chen, Yaodong Yang, Jan Peters, Alois C. Knoll
2023	J	`jnl`	A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning. CoRR Yinmin Zhang, Jie Liu, Chuming Li, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang
2023	A*	`conf`	ACE: Cooperative Multi-Agent Q-learning with Bidirectional Action-Dependency. AAAI Chuming Li, Jie Liu, Yinmin Zhang, Yuhong Wei, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang
2023	J	`jnl`	AI Alignment: A Comprehensive Survey. CoRR Jiaming Ji, Tianyi Qiu, Boyuan Chen, Borong Zhang, Hantao Lou, Kaile Wang, Yawen Duan, Zhonghao He, Jiayi Zhou, Zhaowei Zhang, Fanzhi Zeng, Kwan Yee Ng, Juntao Dai, Xuehai Pan, Aidan O'Gara, Yingshan Lei, Hua Xu, Brian Tse, Jie Fu, Stephen McAleer, Yaodong Yang, Yizhou Wang, Song-Chun Zhu, Yike Guo, Wen Gao
2023	J	`jnl`	ASP: Learn a Universal Neural Solver! CoRR Chenguang Wang, Zhouliang Yu, Stephen McAleer, Tianshu Yu, Yaodong Yang
2023	A*	`conf`	BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset. NeurIPS Jiaming Ji, Mickel Liu, Josef Dai, Xuehai Pan, Chi Zhang, Ce Bian, Boyuan Chen, Ruiyang Sun, Yizhou Wang, Yaodong Yang
2023	J	`jnl`	BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset. CoRR Jiaming Ji, Mickel Liu, Juntao Dai, Xuehai Pan, Chi Zhang, Ce Bian, Boyuan Zhang, Ruiyang Sun, Yizhou Wang, Yaodong Yang
2023	J	`jnl`	Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game. CoRR Simin Li, Jun Guo, Jingqiao Xiu, Xini Yu, Jiakai Wang, Aishan Liu, Yaodong Yang, Xianglong Liu
2023	J	`jnl`	Deep Reinforcement Learning with Multitask Episodic Memory Based on Task-Conditioned Hypernetwork. CoRR Yonggang Jin, Chenxu Wang, Liuyu Xiang, Yaodong Yang, Jie Fu, Zhaofeng He
2023	Misc	`conf`	Dynamic Handover: Throw and Catch with Bimanual Hands. CoRL Binghao Huang, Yuanpei Chen, Tianyu Wang, Yuzhe Qin, Yaodong Yang, Nikolay Atanasov, Xiaolong Wang
2023	J	`jnl`	Dynamic Handover: Throw and Catch with Bimanual Hands. CoRR Binghao Huang, Yuanpei Chen, Tianyu Wang, Yuzhe Qin, Yaodong Yang, Nikolay Atanasov, Xiaolong Wang
2023	A*	`conf`	GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models. ICML Hanjing Wang, Man-Kit Sit, Congjie He, Ying Wen, Weinan Zhang, Jun Wang, Yaodong Yang, Luo Mai
2023	J	`jnl`	GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models. CoRR Hanjing Wang, Man-Kit Sit, Congjie He, Ying Wen, Weinan Zhang, Jun Wang, Yaodong Yang, Luo Mai
2023	A*	`conf`	GenDexGrasp: Generalizable Dexterous Grasping. ICRA Puhao Li, Tengyu Liu, Yuyang Li, Yiran Geng, Yixin Zhu, Yaodong Yang, Siyuan Huang
2023	J	`jnl`	Grasp Multiple Objects with One Hand. CoRR Yuyang Li, Bo Liu, Yiran Geng, Puhao Li, Yaodong Yang, Yixin Zhu, Tengyu Liu, Siyuan Huang
2023	J	`jnl`	Heterogeneous Value Evaluation for Large Language Models. CoRR Zhaowei Zhang, Nian Liu, Siyuan Qi, Ceyao Zhang, Ziqi Rong, Song-Chun Zhu, Shuguang Cui, Yaodong Yang
2023	J	`jnl`	Heterogeneous-Agent Reinforcement Learning. CoRR Yifan Zhong, Jakub Grudzien Kuba, Siyi Hu, Jiaming Ji, Yaodong Yang
2023	A*	`conf`	Hierarchical Multi-Agent Skill Discovery. NeurIPS Mingyu Yang, Yaodong Yang, Zhenbo Lu, Wengang Zhou, Houqiang Li
2023	A	`conf`	Is Nash Equilibrium Approximator Learnable? AAMAS Zhijian Duan, Wenhan Huang, Dinghuai Zhang, Yali Du, Jun Wang, Yaodong Yang, Xiaotie Deng
2023	J	`jnl`	JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models. CoRR Zihao Wang, Shaofei Cai, Anji Liu, Yonggang Jin, Jinbing Hou, Bowei Zhang, Haowei Lin, Zhaofeng He, Zilong Zheng, Yaodong Yang, Xiaojian Ma, Yitao Liang
2023	J	`jnl`	JiangJun: Mastering Xiangqi by Tackling Non-Transitivity in Two-Player Zero-Sum Games. CoRR Yang Li, Kun Xiong, Yingping Zhang, Jiangcheng Zhu, Stephen McAleer, Wei Pan, Jun Wang, Zonghong Dai, Yaodong Yang
2023	J	`jnl`	JiangJun: Mastering Xiangqi by Tackling Non-Transitivity in Two-Player Zero-Sum Games. Trans. Mach. Learn. Res. Yang Li, Kun Xiong, Yingping Zhang, Jiangcheng Zhu, Stephen Marcus McAleer, Wei Pan, Jun Wang, Zonghong Dai, Yaodong Yang
2023	J	`jnl`	Large Sequence Models for Sequential Decision-Making: A Survey. CoRR Muning Wen, Runji Lin, Hanjing Wang, Yaodong Yang, Ying Wen, Luo Mai, Jun Wang, Haifeng Zhang, Weinan Zhang
2023	J	`jnl`	Large sequence models for sequential decision-making: a survey. Frontiers Comput. Sci. Muning Wen, Runji Lin, Hanjing Wang, Yaodong Yang, Ying Wen, Luo Mai, Jun Wang, Hai-Feng Zhang, Weinan Zhang
2023	A*	`conf`	Learning to Shape Rewards Using a Game of Two Partners. AAAI David Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez Nieves, Wenbin Song, Feifei Tong, Matthew E. Taylor, Tianpei Yang, Zipeng Dai, Hui Chen, Jiangcheng Zhu, Kun Shao, Jun Wang, Yaodong Yang
2023	J	`jnl`	MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning. J. Mach. Learn. Res. Ming Zhou, Ziyu Wan, Hanjing Wang, Muning Wen, Runzhe Wu, Ying Wen, Yaodong Yang, Yong Yu, Jun Wang, Weinan Zhang
2023	A*	`conf`	MANSA: Learning Fast and Slow in Multi-Agent Systems. ICML David Henry Mguni, Haojun Chen, Taher Jafferjee, Jianhong Wang, Longfei Yue, Xidong Feng, Stephen Marcus McAleer, Feifei Tong, Jun Wang, Yaodong Yang
2023	J	`jnl`	MANSA: Learning Fast and Slow in Multi-Agent Systems. CoRR David Mguni, Taher Jafferjee, Haojun Chen, Jianhong Wang, Long Fei, Xidong Feng, Stephen McAleer, Feifei Tong, Jun Wang, Yaodong Yang
2023	J	`jnl`	MARLlib: A Scalable and Efficient Multi-agent Reinforcement Learning Library. J. Mach. Learn. Res. Siyi Hu, Yifan Zhong, Minquan Gao, Weixun Wang, Hao Dong, Xiaodan Liang, Zhihui Li, Xiaojun Chang, Yaodong Yang
2023	J	`jnl`	MIR2: Towards Provably Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization. CoRR Simin Li, Ruixiao Xu, Jun Guo, Pu Feng, Jiakai Wang, Aishan Liu, Yaodong Yang, Xianglong Liu, Weifeng Lv
2023	—	`conf`	MSRL: Distributed Reinforcement Learning with Dataflow Fragments. USENIX ATC Huanzhou Zhu, Bo Zhao, Gang Chen, Weifeng Chen, Yijie Chen, Liang Shi, Yaodong Yang, Peter R. Pietzuch, Lei Chen
2023	J	`jnl`	Masked Pretraining for Multi-Agent Decision Making. CoRR Jie Liu, Yinmin Zhang, Chuming Li, Chao Yang, Yaodong Yang, Yu Liu, Wanli Ouyang
2023	J	`jnl`	Maximum Entropy Heterogeneous-Agent Mirror Learning. CoRR Jiarong Liu, Yifan Zhong, Siyi Hu, Haobo Fu, Qiang Fu, Xiaojun Chang, Yaodong Yang
2023	J	`jnl`	Measuring Value Understanding in Language Models through Discriminator-Critique Gap. CoRR Zhaowei Zhang, Fengshuo Bai, Jun Gao, Yaodong Yang
2023	J	`jnl`	Mixup-Augmented Meta-Learning for Sample-Efficient Fine-Tuning of Protein Simulators. CoRR Jingbang Chen, Yian Wang, Xingwei Qu, Shuangjia Zheng, Yaodong Yang, Hao Dong, Jie Fu
2023	A*	`conf`	Multi-Agent First Order Constrained Optimization in Policy Space. NeurIPS Youpeng Zhao, Yaodong Yang, Zhenbo Lu, Wengang Zhou, Houqiang Li
2023	J	`jnl`	Offline Pre-trained Multi-agent Decision Transformer. Mach. Intell. Res. Linghui Meng, Muning Wen, Chenyang Le, Xiyun Li, Dengpeng Xing, Weinan Zhang, Ying Wen, Haifeng Zhang, Jun Wang, Yaodong Yang, Bo Xu
2023	J	`jnl`	OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research. CoRR Jiaming Ji, Jiayi Zhou, Borong Zhang, Juntao Dai, Xuehai Pan, Ruiyang Sun, Weidong Huang, Yiran Geng, Mickel Liu, Yaodong Yang
2023	J	`jnl`	Online Markov decision processes with non-oblivious strategic adversary. Auton. Agents Multi Agent Syst. Le Cong Dinh, David Henry Mguni, Long Tran-Thanh, Jun Wang, Yaodong Yang
2023	A*	`conf`	Policy Space Diversity for Non-Transitive Games. NeurIPS Jian Yao, Weiming Liu, Haobo Fu, Yaodong Yang, Stephen McAleer, Qiang Fu, Wei Yang
2023	J	`jnl`	Policy Space Diversity for Non-Transitive Games. CoRR Jian Yao, Weiming Liu, Haobo Fu, Yaodong Yang, Stephen McAleer, Qiang Fu, Wei Yang
2023	J	`jnl`	ProAgent: Building Proactive Cooperative AI with Large Language Models. CoRR 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
2023	A*	`conf`	Quality-Similar Diversity via Population Based Reinforcement Learning. ICLR Shuang Wu, Jian Yao, Haobo Fu, Ye Tian, Chao Qian, Yaodong Yang, Qiang Fu, Wei Yang
2023	A*	`conf`	RLAfford: End-to-End Affordance Learning for Robotic Manipulation. ICRA Yiran Geng, Boshi An, Haoran Geng, Yuanpei Chen, Yaodong Yang, Hao Dong
2023	J	`jnl`	Red Teaming Game: A Game-Theoretic Framework for Red Teaming Language Models. CoRR Chengdong Ma, Ziran Yang, Minquan Gao, Hai Ci, Jun Gao, Xuehai Pan, Yaodong Yang
2023	A*	`conf`	Regret-Minimizing Double Oracle for Extensive-Form Games. ICML Xiaohang Tang, Le Cong Dinh, Stephen Marcus McAleer, Yaodong Yang
2023	J	`jnl`	Regret-Minimizing Double Oracle for Extensive-Form Games. CoRR Xiaohang Tang, Le Cong Dinh, Stephen Marcus McAleer, Yaodong Yang
2023	J	`jnl`	STAS: Spatial-Temporal Return Decomposition for Multi-agent Reinforcement Learning. CoRR Sirui Chen, Zhaowei Zhang, Yali Du, Yaodong Yang
2023	J	`jnl`	Safe DreamerV3: Safe Reinforcement Learning with World Models. CoRR Weidong Huang, Jiaming Ji, Borong Zhang, Chunhe Xia, Yaodong Yang
2023	J	`jnl`	Safe RLHF: Safe Reinforcement Learning from Human Feedback. CoRR Josef Dai, Xuehai Pan, Ruiyang Sun, Jiaming Ji, Xinbo Xu, Mickel Liu, Yizhou Wang, Yaodong Yang
2023	J	`jnl`	Safe multi-agent reinforcement learning for multi-robot control. Artif. Intell. Shangding Gu, Jakub Grudzien Kuba, Yuanpei Chen, Yali Du, Long Yang, Alois C. Knoll, Yaodong Yang
2023	A*	`conf`	Safety Gymnasium: A Unified Safe Reinforcement Learning Benchmark. NeurIPS Jiaming Ji, Borong Zhang, Jiayi Zhou, Xuehai Pan, Weidong Huang, Ruiyang Sun, Yiran Geng, Yifan Zhong, Josef Dai, Yaodong Yang
2023	J	`jnl`	Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark. CoRR Jiaming Ji, Borong Zhang, Jiayi Zhou, Xuehai Pan, Weidong Huang, Ruiyang Sun, Yiran Geng, Yifan Zhong, Juntao Dai, Yaodong Yang
2023	A*	`conf`	Subspace-Aware Exploration for Sparse-Reward Multi-Agent Tasks. AAAI Pei Xu, Junge Zhang, Qiyue Yin, Chao Yu, Yaodong Yang, Kaiqi Huang
2023	A*	`conf`	Team-PSRO for Learning Approximate TMECor in Large Team Games via Cooperative Reinforcement Learning. NeurIPS Stephen McAleer, Gabriele Farina, Gaoyue Zhou, Mingzhi Wang, Yaodong Yang, Tuomas Sandholm
2023	A	`conf`	Theoretically Guaranteed Policy Improvement Distilled from Model-Based Planning. ECAI Chuming Li, Ruonan Jia, Jie Liu, Yinmin Zhang, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang
2023	J	`jnl`	Theoretically Guaranteed Policy Improvement Distilled from Model-Based Planning. CoRR Chuming Li, Ruonan Jia, Jie Liu, Yinmin Zhang, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang
2023	J	`jnl`	TorchOpt: An Efficient Library for Differentiable Optimization. J. Mach. Learn. Res. Jie Ren, Xidong Feng, Bo Liu, Xuehai Pan, Yao Fu, Luo Mai, Yaodong Yang
2023	A*	`conf`	UniDexGrasp++: Improving Dexterous Grasping Policy Learning via Geometry-aware Curriculum and Iterative Generalist-Specialist Learning. ICCV Weikang Wan, Haoran Geng, Yun Liu, Zikang Shan, Yaodong Yang, Li Yi, He Wang
2023	J	`jnl`	UniDexGrasp++: Improving Dexterous Grasping Policy Learning via Geometry-aware Curriculum and Iterative Generalist-Specialist Learning. CoRR Weikang Wan, Haoran Geng, Yun Liu, Zikang Shan, Yaodong Yang, Li Yi, He Wang
2022	—	`conf`	A Game-Theoretic Approach to Multi-agent Trust Region Optimization. DAI Ying Wen, Hui Chen, Yaodong Yang, Minne Li, Zheng Tian, Xu Chen, Jun Wang
2022	J	`jnl`	A Review of Safe Reinforcement Learning: Methods, Theory and Applications. CoRR Shangding Gu, Long Yang, Yali Du, Guang Chen, Florian Walter, Jun Wang, Yaodong Yang, Alois C. Knoll
2022	A*	`conf`	A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning. NeurIPS Bo Liu, Xidong Feng, Jie Ren, Luo Mai, Rui Zhu, Haifeng Zhang, Jun Wang, Yaodong Yang
2022	J	`jnl`	ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency. CoRR Chuming Li, Jie Liu, Yinmin Zhang, Yuhong Wei, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang
2022	A*	`conf`	Constrained Update Projection Approach to Safe Policy Optimization. NeurIPS Long Yang, Jiaming Ji, Juntao Dai, Linrui Zhang, Binbin Zhou, Pengfei Li, Yaodong Yang, Gang Pan
2022	J	`jnl`	Constrained Update Projection Approach to Safe Policy Optimization. CoRR Long Yang, Jiaming Ji, Juntao Dai, Linrui Zhang, Binbin Zhou, Pengfei Li, Yaodong Yang, Gang Pan
2022	J	`jnl`	Contextual Transformer for Offline Meta Reinforcement Learning. CoRR Runji Lin, Ye Li, Xidong Feng, Zhaowei Zhang, Xian Hong Wu Fung, Haifeng Zhang, Jun Wang, Yali Du, Yaodong Yang
2022	B	`conf`	Debias the Black-Box: A Fair Ranking Framework via Knowledge Distillation. WISE Zhitao Zhu, Shijing Si, Jianzong Wang, Yaodong Yang, Jing Xiao
2022	J	`jnl`	Debias the Black-box: A Fair Ranking Framework via Knowledge Distillation. CoRR Zhitao Zhu, Shijing Si, Jianzong Wang, Yaodong Yang, Jing Xiao
2022	J	`jnl`	Efficient Policy Space Response Oracles. CoRR Ming Zhou, Jingxiao Chen, Ying Wen, Weinan Zhang, Yaodong Yang, Yong Yu
2022	J	`jnl`	End-to-End Affordance Learning for Robotic Manipulation. CoRR Yiran Geng, Boshi An, Haoran Geng, Yuanpei Chen, Yaodong Yang, Hao Dong
2022	J	`jnl`	Fully Decentralized Model-based Policy Optimization for Networked Systems. CoRR Yali Du, Chengdong Ma, Yuchen Liu, Runji Lin, Hao Dong, Jun Wang, Yaodong Yang
2022	J	`jnl`	GenDexGrasp: Generalizable Dexterous Grasping. CoRR Puhao Li, Tengyu Liu, Yuyang Li, Yiran Geng, Yixin Zhu, Yaodong Yang, Siyuan Huang
2022	J	`jnl`	Heterogeneous-Agent Mirror Learning: A Continuum of Solutions to Cooperative MARL. CoRR Jakub Grudzien Kuba, Xidong Feng, Shiyao Ding, Hao Dong, Jun Wang, Yaodong Yang
2022	J	`jnl`	Illiquidity Comovement and Market Crisis. J. Syst. Sci. Complex. Qingduo Zeng, Qiang Zhang, Shancun Liu, Yaodong Yang
2022	A*	`conf`	LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning. ICLR David Henry Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez Nieves, Oliver Slumbers, Feifei Tong, Yang Li, Jiangcheng Zhu, Yaodong Yang, Jun Wang
2022	J	`jnl`	Learning Risk-Averse Equilibria in Multi-Agent Systems. CoRR Oliver Slumbers, David Henry Mguni, Stephen McAleer, Jun Wang, Yaodong Yang
2022	J	`jnl`	MARLlib: Extending RLlib for Multi-agent Reinforcement Learning. CoRR Siyi Hu, Yifan Zhong, Minquan Gao, Weixun Wang, Hao Dong, Zhihui Li, Xiaodan Liang, Xiaojun Chang, Yaodong Yang
2022	A*	`conf`	MATE: Benchmarking Multi-Agent Reinforcement Learning in Distributed Target Coverage Control. NeurIPS Xuehai Pan, Mickel Liu, Fangwei Zhong, Yaodong Yang, Song-Chun Zhu, Yizhou Wang
2022	J	`jnl`	MSRL: Distributed Reinforcement Learning with Dataflow Fragments. CoRR Huanzhou Zhu, Bo Zhao, Gang Chen, Weifeng Chen, Yijie Chen, Liang Shi, Yaodong Yang, Peter R. Pietzuch, Lei Chen
2022	J	`jnl`	Measuring the Non-Transitivity in Chess. Algorithms Ricky Sanjaya, Jun Wang, Yaodong Yang
2022	A*	`conf`	Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning. NeurIPS Runze Liu, Fengshuo Bai, Yali Du, Yaodong Yang
2022	A*	`conf`	Multi-Agent Reinforcement Learning is a Sequence Modeling Problem. NeurIPS Muning Wen, Jakub Grudzien Kuba, Runji Lin, Weinan Zhang, Ying Wen, Jun Wang, Yaodong Yang
2022	J	`jnl`	Multi-Agent Reinforcement Learning is a Sequence Modeling Problem. CoRR Muning Wen, Jakub Grudzien Kuba, Runji Lin, Weinan Zhang, Ying Wen, Jun Wang, Yaodong Yang
2022	A*	`conf`	On the Convergence of Fictitious Play: A Decomposition Approach. IJCAI Yurong Chen, Xiaotie Deng, Chenchen Li, David Mguni, Jun Wang, Xiang Yan, Yaodong Yang
2022	J	`jnl`	On the Convergence of Fictitious Play: A Decomposition Approach. CoRR Yurong Chen, Xiaotie Deng, Chenchen Li, David Mguni, Jun Wang, Xiang Yan, Yaodong Yang
2022	J	`jnl`	Online Double Oracle. Trans. Mach. Learn. Res. Le Cong Dinh, Stephen Marcus McAleer, Zheng Tian, Nicolas Perez Nieves, Oliver Slumbers, David Henry Mguni, Jun Wang, Haitham Bou-Ammar, Yaodong Yang
2022	A	`conf`	Scalable Model-based Policy Optimization for Decentralized Networked Systems. IROS Yali Du, Chengdong Ma, Yuchen Liu, Runji Lin, Hao Dong, Jun Wang, Yaodong Yang
2022	J	`jnl`	Settling the Communication Complexity for Distributed Offline Reinforcement Learning. CoRR Juliusz Krysztof Ziomek, Jun Wang, Yaodong Yang
2022	J	`jnl`	TorchOpt: An Efficient Library for Differentiable Optimization. CoRR Jie Ren, Xidong Feng, Bo Liu, Xuehai Pan, Yao Fu, Luo Mai, Yaodong Yang
2022	A*	`conf`	Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning. NeurIPS Yuanpei Chen, Tianhao Wu, Shengjie Wang, Xidong Feng, Jiechuan Jiang, Zongqing Lu, Stephen McAleer, Hao Dong, Song-Chun Zhu, Yaodong Yang
2022	J	`jnl`	Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning. CoRR Yuanpei Chen, Yaodong Yang, Tianhao Wu, Shengjie Wang, Xidong Feng, Jiechuang Jiang, Stephen Marcus McAleer, Hao Dong, Zongqing Lu, Song-Chun Zhu
2022	A*	`conf`	Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning. ICLR Jakub Grudzien Kuba, Ruiqing Chen, Muning Wen, Ying Wen, Fanglei Sun, Jun Wang, Yaodong Yang
2022	J	`jnl`	Understanding Value Decomposition Algorithms in Deep Cooperative Multi-Agent Reinforcement Learning. CoRR Zehao Dou, Jakub Grudzien Kuba, Yaodong Yang
2021	J	`jnl`	A Game-Theoretic Approach for Improving Generalization Ability of TSP Solvers. CoRR Chenguang Wang, Yaodong Yang, Oliver Slumbers, Congying Han, Tiande Guo, Haifeng Zhang, Jun Wang
2021	J	`jnl`	A Game-Theoretic Approach to Multi-Agent Trust Region Optimization. CoRR Ying Wen, Hui Chen, Yaodong Yang, Zheng Tian, Minne Li, Xu Chen, Jun Wang
2021	J	`jnl`	DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention. CoRR David Mguni, Joel Jennings, Taher Jafferjee, Aivar Sootla, Yaodong Yang, Changmin Yu, Usman Islam, Ziyan Wang, Jun Wang
2021	J	`jnl`	Discovering Multi-Agent Auto-Curricula in Two-Player Zero-Sum Games. CoRR Xidong Feng, Oliver Slumbers, Yaodong Yang, Ziyu Wan, Bo Liu, Stephen McAleer, Ying Wen, Jun Wang
2021	J	`jnl`	LIGS: Learnable Intrinsic-Reward Generation Selection for Multi-Agent Learning. CoRR David Henry Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez Nieves, Oliver Slumbers, Feifei Tong, Yang Li, Jiangcheng Zhu, Yaodong Yang, Jun Wang
2021	A*	`conf`	Learning in Nonzero-Sum Stochastic Games with Potentials. ICML David Henry Mguni, Yutong Wu, Yali Du, Yaodong Yang, Ziyi Wang, Minne Li, Ying Wen, Joel Jennings, Jun Wang
2021	J	`jnl`	Learning in Nonzero-Sum Stochastic Games with Potentials. CoRR David Mguni, Yutong Wu, Yali Du, Yaodong Yang, Ziyi Wang, Minne Li, Ying Wen, Joel Jennings, Jun Wang
2021	J	`jnl`	Learning to Shape Rewards using a Game of Switching Controls. CoRR David Mguni, Jianhong Wang, Taher Jafferjee, Nicolas Perez Nieves, Wenbin Song, Yaodong Yang, Feifei Tong, Hui Chen, Jiangcheng Zhu, Yali Du, Jun Wang
2021	J	`jnl`	MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning. CoRR Ming Zhou, Ziyu Wan, Hanjing Wang, Muning Wen, Runzhe Wu, Ying Wen, Yaodong Yang, Weinan Zhang, Jun Wang
2021	—	`—`	Many-agent reinforcement learning Yaodong Yang
2021	J	`jnl`	Measuring the Non-Transitivity in Chess. CoRR Ricky Sanjaya, Jun Wang, Yaodong Yang
2021	A*	`conf`	Modelling Behavioural Diversity for Learning in Open-Ended Games. ICML Nicolas Perez Nieves, Yaodong Yang, Oliver Slumbers, David Henry Mguni, Ying Wen, Jun Wang
2021	J	`jnl`	Modelling Behavioural Diversity for Learning in Open-Ended Games. CoRR Nicolas Perez Nieves, Yaodong Yang, Oliver Slumbers, David Henry Mguni, Jun Wang
2021	J	`jnl`	Multi-Agent Constrained Policy Optimisation. CoRR Shangding Gu, Jakub Grudzien Kuba, Muning Wen, Ruiqing Chen, Ziyan Wang, Zheng Tian, Jun Wang, Alois C. Knoll, Yaodong Yang
2021	—	`conf`	MyoChallenge 2022: Learning contact-rich manipulation using a musculoskeletal hand. NeurIPS (Competition and Demos) Vittorio Caggiano, Guillaume Durandau, Huawei Wang, Alberto Silvio Chiappa, Alexander Mathis, Pablo Tano, Nisheet Patel, Alexandre Pouget, Pierre Schumacher, Georg Martius, Daniel F. B. Haeufle, Yiran Geng, Boshi An, Yifan Zhong, Jiaming Ji, Yuanpei Chen, Hao Dong, Yaodong Yang, Rahul Siripurapu, Luis Eduardo Ferro Diez, Michael Kopp, Vihang Patil, Sepp Hochreiter, Yuval Tassa, Josh Merel, Randy Schultheis, Seungmoon Song, Massimo Sartori, Vikash Kumar
2021	A*	`conf`	Neural Auto-Curricula in Two-Player Zero-Sum Games. NeurIPS Xidong Feng, Oliver Slumbers, Ziyu Wan, Bo Liu, Stephen McAleer, Ying Wen, Jun Wang, Yaodong Yang
2021	J	`jnl`	Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC Tasks. CoRR Linghui Meng, Muning Wen, Yaodong Yang, Chenyang Le, Xiyun Li, Weinan Zhang, Ying Wen, Haifeng Zhang, Jun Wang, Bo Xu
2021	J	`jnl`	On the Complexity of Computing Markov Perfect Equilibrium in General-Sum Stochastic Games. CoRR Xiaotie Deng, Yuhao Li, David Henry Mguni, Jun Wang, Yaodong Yang
2021	J	`jnl`	On the Complexity of Computing Markov Perfect Equilibrium in General-Sum Stochastic Games. Electron. Colloquium Comput. Complex. Xiaotie Deng, Yuhao Li, David Mguni, Jun Wang, Yaodong Yang
2021	J	`jnl`	Online Double Oracle. CoRR Le Cong Dinh, Yaodong Yang, Zheng Tian, Nicolas Perez Nieves, Oliver Slumbers, David Henry Mguni, Haitham Bou-Ammar, Jun Wang
2021	J	`jnl`	Online Markov Decision Processes with Non-oblivious Strategic Adversary. CoRR Le Cong Dinh, David Henry Mguni, Long Tran-Thanh, Jun Wang, Yaodong Yang
2021	J	`jnl`	Revisiting the Characteristics of Stochastic Gradient Noise and Dynamics. CoRR Yixin Wu, Rui Luo, Chen Zhang, Jun Wang, Yaodong Yang
2021	J	`jnl`	Settling the Bias and Variance of Meta-Gradient Estimation for Meta-Reinforcement Learning. CoRR Bo Liu, Xidong Feng, Haifeng Zhang, Jun Wang, Yaodong Yang
2021	A*	`conf`	Settling the Variance of Multi-Agent Policy Gradients. NeurIPS Jakub Grudzien Kuba, Muning Wen, Linghui Meng, Shangding Gu, Haifeng Zhang, David Mguni, Jun Wang, Yaodong Yang
2021	J	`jnl`	Settling the Variance of Multi-Agent Policy Gradients. CoRR Jakub Grudzien Kuba, Muning Wen, Yaodong Yang, Linghui Meng, Shangding Gu, Haifeng Zhang, David Henry Mguni, Jun Wang
2021	A*	`conf`	Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games. NeurIPS Xiangyu Liu, Hangtian Jia, Ying Wen, Yujing Hu, Yingfeng Chen, Changjie Fan, Zhipeng Hu, Yaodong Yang
2021	J	`jnl`	Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning. CoRR Jakub Grudzien Kuba, Ruiqing Chen, Muning Wen, Ying Wen, Fanglei Sun, Jun Wang, Yaodong Yang
2021	J	`jnl`	Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games. CoRR Xiangyu Liu, Hangtian Jia, Ying Wen, Yaodong Yang, Yujing Hu, Yingfeng Chen, Changjie Fan, Zhipeng Hu
2020	J	`jnl`	An Overview of Multi-Agent Reinforcement Learning from Game Theoretical Perspective. CoRR Yaodong Yang, Jun Wang
2020	A*	`conf`	Bi-Level Actor-Critic for Multi-Agent Coordination. AAAI Haifeng Zhang, Weizhe Chen, Zeren Huang, Minne Li, Yaodong Yang, Weinan Zhang, Jun Wang
2020	J	`jnl`	Can deep learning predict risky retail investors? A case study in financial risk behavior forecasting. Eur. J. Oper. Res. Alisa Kim, Yaodong Yang, Stefan Lessmann, Tiejun Ma, Ming-Chien Sung, Johnnie E. V. Johnson
2020	A	`conf`	Learning to Infer User Hidden States for Online Sequential Advertising. CIKM 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
2020	J	`jnl`	Learning to Infer User Hidden States for Online Sequential Advertising. CoRR 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
2020	A*	`conf`	Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning. IJCAI Ying Wen, Yaodong Yang, Jun Wang
2020	A*	`conf`	Multi-Agent Determinantal Q-Learning. ICML Yaodong Yang, Ying Wen, Jun Wang, Liheng Chen, Kun Shao, David Mguni, Weinan Zhang
2020	J	`jnl`	Multi-Agent Determinantal Q-Learning. CoRR Yaodong Yang, Ying Wen, Liheng Chen, Jun Wang, Kun Shao, David Mguni, Weinan Zhang
2020	J	`jnl`	Order Execution Probability and Order Queue in Limit Order Markets. J. Syst. Sci. Complex. Qiang Zhang, Chao Wang, Shancun Liu, Yaodong Yang
2020	A*	`conf`	Replica-Exchange Nosé-Hoover Dynamics for Bayesian Learning on Large Datasets. NeurIPS Rui Luo, Qiang Zhang, Yaodong Yang, Jun Wang
2020	A	`conf`	Sequential Advertising Agent with Interpretable User Hidden Intents. AAMAS 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
2020	A	`conf`	αα-Rank: Practically Scaling α-Rank through Stochastic Optimisation. AAMAS Yaodong Yang, Rasul Tutunov, Phu Sakulwongtana, Haitham Bou-Ammar
2019	Misc	`conf`	Adversarial Variational Bayes Methods for Tweedie Compound Poisson Mixed Models. ICASSP Yaodong Yang, Rui Luo, Yuanyuan Liu
2019	J	`jnl`	Bi-level Actor-Critic for Multi-agent Coordination. CoRR Haifeng Zhang, Weizhe Chen, Zeren Huang, Minne Li, Yaodong Yang, Weinan Zhang, Jun Wang
2019	A*	`conf`	Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning. WWW Minne Li, Zhiwei (Tony) Qin, Yan Jiao, Yaodong Yang, Jun Wang, Chenxi Wang, Guobin Wu, Jieping Ye
2019	J	`jnl`	Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning. CoRR Minne Li, Zhiwei (Tony) Qin, Yan Jiao, Yaodong Yang, Zhichen Gong, Jun Wang, Chenxi Wang, Guobin Wu, Jieping Ye
2019	—	`conf`	Factorized Q-learning for large-scale multi-agent systems. DAI Ming Zhou, Yong Chen, Ying Wen, Yaodong Yang, Yufeng Su, Weinan Zhang, Dell Zhang, Jun Wang
2019	J	`jnl`	Multi-Agent Generalized Recursive Reasoning. CoRR Ying Wen, Yaodong Yang, Rui Lu, Jun Wang
2019	—	`conf`	Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning. ICLR (Poster) Ying Wen, Yaodong Yang, Rui Luo, Jun Wang, Wei Pan
2019	J	`jnl`	Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning. CoRR Ying Wen, Yaodong Yang, Rui Luo, Jun Wang, Wei Pan
2019	J	`jnl`	Replica-exchange Nosé-Hoover dynamics for Bayesian learning on large datasets. CoRR Rui Luo, Qiang Zhang, Yaodong Yang, Jun Wang
2018	A	`conf`	A Study of AI Population Dynamics with Million-agent Reinforcement Learning. AAMAS Yaodong Yang, Lantao Yu, Yiwei Bai, Ying Wen, Weinan Zhang, Jun Wang
2018	J	`jnl`	Benchmarking Deep Sequential Models on Volatility Predictions for Financial Time Series. CoRR Qiang Zhang, Rui Luo, Yaodong Yang, Yuanyuan Liu
2018	J	`jnl`	Factorized Q-Learning for Large-Scale Multi-Agent Systems. CoRR Yong Chen, Ming Zhou, Ying Wen, Yaodong Yang, Yufeng Su, Weinan Zhang, Dell Zhang, Jun Wang, Han Liu
2018	A*	`conf`	Mean Field Multi-Agent Reinforcement Learning. ICML Yaodong Yang, Rui Luo, Minne Li, Ming Zhou, Weinan Zhang, Jun Wang
2018	J	`jnl`	Mean Field Multi-Agent Reinforcement Learning. CoRR Yaodong Yang, Rui Luo, Minne Li, Ming Zhou, Weinan Zhang, Jun Wang
2018	A*	`conf`	Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning. NeurIPS Rui Luo, Jianhong Wang, Yaodong Yang, Jun Wang, Zhanxing Zhu
2017	J	`jnl`	An Empirical Study of AI Population Dynamics with Million-agent Reinforcement Learning. CoRR Yaodong Yang, Lantao Yu, Yiwei Bai, Jun Wang, Weinan Zhang, Ying Wen, Yong Yu
2017	J	`jnl`	Multiagent Bidirectionally-Coordinated Nets for Learning to Play StarCraft Combat Games. CoRR Peng Peng, Quan Yuan, Ying Wen, Yaodong Yang, Zhenkun Tang, Haitao Long, Jun Wang