Yaodong Yang

ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 181

Top Venues

Publications

Yizhe Huang, Anji Liu, Fanqi Kong, Yaodong Yang, Song-Chun Zhu, Xue Feng
Efficient Adaptation in Mixed-Motive Environments via Hierarchical Opponent Modeling and Planning. CoRR (2024)
Zhaowei Zhang, Fengshuo Bai, Mingzhi Wang, Haoyang Ye, Chengdong Ma, Yaodong Yang
Incentive Compatibility for AI Alignment in Sociotechnical Systems: Positions and Prospects. CoRR (2024)
Jiaming Ji, Donghai Hong, Borong Zhang, Boyuan Chen, Josef Dai, Boren Zheng, Tianyi Qiu, Boxun Li, Yaodong Yang
PKU-SafeRLHF: A Safety Alignment Preference Dataset for Llama Family Models. CoRR (2024)
Jiaming Ji, Kaile Wang, Tianyi Qiu, Boyuan Chen, Jiayi Zhou, Changye Li, Hantao Lou, Yaodong Yang
Language Models Resist Alignment. CoRR (2024)
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
Self-Supervised MAFENN for Classifying Low-Labeled Distorted Images Over Mobile Fading Channels. IEEE Trans. Mob. Comput. 23 (8) (2024)
Jiesong Lian, Yucong Huang, Mingzhi Wang, Chengdong Ma, Yixue Hao, Ying Wen, Yaodong Yang
Fusion-PSRO: Nash Policy Fusion for Policy Space Response Oracles. CoRR (2024)
Tianyi Qiu, Yang Zhang, Xuchuan Huang, Jasmine Xinze Li, Jiaming Ji, Yaodong Yang
ProgressGym: Alignment with a Millennium of Moral Progress. CoRR (2024)
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
CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents. CoRR (2024)
Chenguang Wang, Zhouliang Yu, Stephen McAleer, Tianshu Yu, Yaodong Yang
ASP: Learn a Universal Neural Solver! IEEE Trans. Pattern Anal. Mach. Intell. 46 (6) (2024)
Sirui Chen, Zhaowei Zhang, Yaodong Yang, Yali Du
STAS: Spatial-Temporal Return Decomposition for Solving Sparse Rewards Problems in Multi-agent Reinforcement Learning. AAAI (2024)
Jiarong Liu, Yifan Zhong, Siyi Hu, Haobo Fu, Qiang Fu, Xiaojun Chang, Yaodong Yang
Maximum Entropy Heterogeneous-Agent Reinforcement Learning. ICLR (2024)
Josef Dai, Tianle Chen, Xuyao Wang, Ziran Yang, Taiye Chen, Jiaming Ji, Yaodong Yang
SafeSora: Towards Safety Alignment of Text2Video Generation via a Human Preference Dataset. CoRR (2024)
Le Cong Dinh, David Henry Mguni, Long Tran-Thanh, Jun Wang, Yaodong Yang
A Summary of Online Markov Decision Processes with Non-oblivious Strategic Adversary. AAMAS (2024)
Yuyang Li, Bo Liu, Yiran Geng, Puhao Li, Yaodong Yang, Yixin Zhu, Tengyu Liu, Siyuan Huang
Grasp Multiple Objects With One Hand. IEEE Robotics Autom. Lett. 9 (5) (2024)
Fengshuo Bai, Rui Zhao, Hongming Zhang, Sijia Cui, Ying Wen, Yaodong Yang, Bo Xu, Lei Han
Efficient Preference-based Reinforcement Learning via Aligned Experience Estimation. CoRR (2024)
Yuanpei Chen, Yiran Geng, Fangwei Zhong, Jiaming Ji, Jiechuang Jiang, Zongqing Lu, Hao Dong, Yaodong Yang
Bi-DexHands: Towards Human-Level Bimanual Dexterous Manipulation. IEEE Trans. Pattern Anal. Mach. Intell. 46 (5) (2024)
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
CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents. ICLR (2024)
Weidong Huang, Jiaming Ji, Chunhe Xia, Borong Zhang, Yaodong Yang
SafeDreamer: Safe Reinforcement Learning with World Models. ICLR (2024)
Yinmin Zhang, Jie Liu, Chuming Li, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang
A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning. AAAI (2024)
Zhiyu Zhao, Ning Yang, Xue Yan, Haifeng Zhang, Jun Wang, Yaodong Yang
Correlated Mean Field Imitation Learning. CoRR (2024)
Jieming Cui, Tengyu Liu, Nian Liu, Yaodong Yang, Yixin Zhu, Siyuan Huang
AnySkill: Learning Open-Vocabulary Physical Skill for Interactive Agents. CoRR (2024)
Tianhao Wu, Yunchong Gan, Mingdong Wu, Jingbo Cheng, Yaodong Yang, Yixin Zhu, Hao Dong
UniDexFPM: Universal Dexterous Functional Pre-grasp Manipulation Via Diffusion Policy. CoRR (2024)
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
ProAgent: Building Proactive Cooperative Agents with Large Language Models. AAAI (2024)
Jiaming Ji, Boyuan Chen, Hantao Lou, Donghai Hong, Borong Zhang, Xuehai Pan, Juntao Dai, Yaodong Yang
Aligner: Achieving Efficient Alignment through Weak-to-Strong Correction. CoRR (2024)
Fengshuo Bai, Mingzhi Wang, Zhaowei Zhang, Boyuan Chen, Yinda Xu, Ying Wen, Yaodong Yang
Efficient Model-agnostic Alignment via Bayesian Persuasion. CoRR (2024)
Yifan Zhong, Chengdong Ma, Xiaoyuan Zhang, Ziran Yang, Qingfu Zhang, Siyuan Qi, Yaodong Yang
Panacea: Pareto Alignment via Preference Adaptation for LLMs. CoRR (2024)
Tianyi Qiu, Fanzhi Zeng, Jiaming Ji, Dong Yan, Kaile Wang, Jiayi Zhou, Han Yang, Josef Dai, Xuehai Pan, Yaodong Yang
Rethinking Information Structures in RLHF: Reward Generalization from a Graph Theory Perspective. CoRR (2024)
Josef Dai, Xuehai Pan, Ruiyang Sun, Jiaming Ji, Xinbo Xu, Mickel Liu, Yizhou Wang, Yaodong Yang
Safe RLHF: Safe Reinforcement Learning from Human Feedback. ICLR (2024)
Simin Li, Jun Guo, Jingqiao Xiu, Ruixiao Xu, Xin Yu, Jiakai Wang, Aishan Liu, Yaodong Yang, Xianglong Liu
Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game. ICLR (2024)
Naming Liu, Mingzhi Wang, Youzhi Zhang, Yaodong Yang, Bo An, Ying Wen
Leveraging Team Correlation for Approximating Equilibrium in Two-Team Zero-Sum Games. CoRR (2024)
Jiaming Ji, Borong Zhang, Jiayi Zhou, Xuehai Pan, Weidong Huang, Ruiyang Sun, Yiran Geng, Yifan Zhong, Juntao Dai, Yaodong Yang
Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark. CoRR (2023)
Yinmin Zhang, Jie Liu, Chuming Li, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang
A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning. CoRR (2023)
Jiaming Ji, Borong Zhang, Jiayi Zhou, Xuehai Pan, Weidong Huang, Ruiyang Sun, Yiran Geng, Yifan Zhong, Josef Dai, Yaodong Yang
Safety Gymnasium: A Unified Safe Reinforcement Learning Benchmark. NeurIPS (2023)
Shangding Gu, Jakub Grudzien Kuba, Yuanpei Chen, Yali Du, Long Yang, Alois C. Knoll, Yaodong Yang
Safe multi-agent reinforcement learning for multi-robot control. Artif. Intell. 319 (2023)
Jiaming Ji, Mickel Liu, Josef Dai, Xuehai Pan, Chi Zhang, Ce Bian, Boyuan Chen, Ruiyang Sun, Yizhou Wang, Yaodong Yang
BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset. NeurIPS (2023)
Weidong Huang, Jiaming Ji, Borong Zhang, Chunhe Xia, Yaodong Yang
Safe DreamerV3: Safe Reinforcement Learning with World Models. CoRR (2023)
Chuming Li, Jie Liu, Yinmin Zhang, Yuhong Wei, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang
ACE: Cooperative Multi-Agent Q-learning with Bidirectional Action-Dependency. AAAI (2023)
Yang Li, Kun Xiong, Yingping Zhang, Jiangcheng Zhu, Stephen Marcus McAleer, Wei Pan, Jun Wang, Zonghong Dai, Yaodong Yang
JiangJun: Mastering Xiangqi by Tackling Non-Transitivity in Two-Player Zero-Sum Games. Trans. Mach. Learn. Res. 2023 (2023)
Binghao Huang, Yuanpei Chen, Tianyu Wang, Yuzhe Qin, Yaodong Yang, Nikolay Atanasov, Xiaolong Wang
Dynamic Handover: Throw and Catch with Bimanual Hands. CoRR (2023)
Jie Liu, Yinmin Zhang, Chuming Li, Chao Yang, Yaodong Yang, Yu Liu, Wanli Ouyang
Masked Pretraining for Multi-Agent Decision Making. CoRR (2023)
Yuyang Li, Bo Liu, Yiran Geng, Puhao Li, Yaodong Yang, Yixin Zhu, Tengyu Liu, Siyuan Huang
Grasp Multiple Objects with One Hand. CoRR (2023)
Ming Zhou, Ziyu Wan, Hanjing Wang, Muning Wen, Runzhe Wu, Ying Wen, Yaodong Yang, Yong Yu, Jun Wang, Weinan Zhang
MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning. J. Mach. Learn. Res. 24 (2023)
Shangding Gu, Alap Kshirsagar, Yali Du, Guang Chen, Yaodong Yang, Jan Peters, Alois C. Knoll
A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors. CoRR (2023)
David Henry Mguni, Haojun Chen, Taher Jafferjee, Jianhong Wang, Longfei Yue, Xidong Feng, Stephen Marcus McAleer, Feifei Tong, Jun Wang, Yaodong Yang
MANSA: Learning Fast and Slow in Multi-Agent Systems. ICML (2023)
Muning Wen, Runji Lin, Hanjing Wang, Yaodong Yang, Ying Wen, Luo Mai, Jun Wang, Haifeng Zhang, Weinan Zhang
Large Sequence Models for Sequential Decision-Making: A Survey. CoRR (2023)
Shuang Wu, Jian Yao, Haobo Fu, Ye Tian, Chao Qian, Yaodong Yang, Qiang Fu, Wei Yang
Quality-Similar Diversity via Population Based Reinforcement Learning. ICLR (2023)
Zhaowei Zhang, Nian Liu, Siyuan Qi, Ceyao Zhang, Ziqi Rong, Song-Chun Zhu, Shuguang Cui, Yaodong Yang
Heterogeneous Value Evaluation for Large Language Models. CoRR (2023)
Linghui Meng, Muning Wen, Chenyang Le, Xiyun Li, Dengpeng Xing, Weinan Zhang, Ying Wen, Haifeng Zhang, Jun Wang, Yaodong Yang, Bo Xu
Offline Pre-trained Multi-agent Decision Transformer. Mach. Intell. Res. 20 (2) (2023)
Jian Yao, Weiming Liu, Haobo Fu, Yaodong Yang, Stephen McAleer, Qiang Fu, Wei Yang
Policy Space Diversity for Non-Transitive Games. NeurIPS (2023)
Sirui Chen, Zhaowei Zhang, Yali Du, Yaodong Yang
STAS: Spatial-Temporal Return Decomposition for Multi-agent Reinforcement Learning. CoRR (2023)
Muning Wen, Runji Lin, Hanjing Wang, Yaodong Yang, Ying Wen, Luo Mai, Jun Wang, Hai-Feng Zhang, Weinan Zhang
Large sequence models for sequential decision-making: a survey. Frontiers Comput. Sci. 17 (6) (2023)
Weikang Wan, Haoran Geng, Yun Liu, Zikang Shan, Yaodong Yang, Li Yi, He Wang
UniDexGrasp++: Improving Dexterous Grasping Policy Learning via Geometry-aware Curriculum and Iterative Generalist-Specialist Learning. ICCV (2023)
Yang Li, Kun Xiong, Yingping Zhang, Jiangcheng Zhu, Stephen McAleer, Wei Pan, Jun Wang, Zonghong Dai, Yaodong Yang
JiangJun: Mastering Xiangqi by Tackling Non-Transitivity in Two-Player Zero-Sum Games. CoRR (2023)
Simin Li, Jun Guo, Jingqiao Xiu, Xini Yu, Jiakai Wang, Aishan Liu, Yaodong Yang, Xianglong Liu
Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game. CoRR (2023)
Puhao Li, Tengyu Liu, Yuyang Li, Yiran Geng, Yixin Zhu, Yaodong Yang, Siyuan Huang
GenDexGrasp: Generalizable Dexterous Grasping. ICRA (2023)
Binghao Huang, Yuanpei Chen, Tianyu Wang, Yuzhe Qin, Yaodong Yang, Nikolay Atanasov, Xiaolong Wang
Dynamic Handover: Throw and Catch with Bimanual Hands. CoRL (2023)
Chenguang Wang, Zhouliang Yu, Stephen McAleer, Tianshu Yu, Yaodong Yang
ASP: Learn a Universal Neural Solver! CoRR (2023)
Zhaowei Zhang, Fengshuo Bai, Jun Gao, Yaodong Yang
Measuring Value Understanding in Language Models through Discriminator-Critique Gap. CoRR (2023)
Stephen McAleer, Gabriele Farina, Gaoyue Zhou, Mingzhi Wang, Yaodong Yang, Tuomas Sandholm
Team-PSRO for Learning Approximate TMECor in Large Team Games via Cooperative Reinforcement Learning. NeurIPS (2023)
Pei Xu, Junge Zhang, Qiyue Yin, Chao Yu, Yaodong Yang, Kaiqi Huang
Subspace-Aware Exploration for Sparse-Reward Multi-Agent Tasks. AAAI (2023)
Chengdong Ma, Ziran Yang, Minquan Gao, Hai Ci, Jun Gao, Xuehai Pan, Yaodong Yang
Red Teaming Game: A Game-Theoretic Framework for Red Teaming Language Models. CoRR (2023)
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
Learning to Shape Rewards Using a Game of Two Partners. AAAI (2023)
Weikang Wan, Haoran Geng, Yun Liu, Zikang Shan, Yaodong Yang, Li Yi, He Wang
UniDexGrasp++: Improving Dexterous Grasping Policy Learning via Geometry-aware Curriculum and Iterative Generalist-Specialist Learning. CoRR (2023)
Jiaming Ji, Mickel Liu, Juntao Dai, Xuehai Pan, Chi Zhang, Ce Bian, Boyuan Zhang, Ruiyang Sun, Yizhou Wang, Yaodong Yang
BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset. CoRR (2023)
Xiaohang Tang, Le Cong Dinh, Stephen Marcus McAleer, Yaodong Yang
Regret-Minimizing Double Oracle for Extensive-Form Games. CoRR (2023)
Zhijian Duan, Wenhan Huang, Dinghuai Zhang, Yali Du, Jun Wang, Yaodong Yang, Xiaotie Deng
Is Nash Equilibrium Approximator Learnable? AAMAS (2023)
Hanjing Wang, Man-Kit Sit, Congjie He, Ying Wen, Weinan Zhang, Jun Wang, Yaodong Yang, Luo Mai
GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models. CoRR (2023)
Huanzhou Zhu, Bo Zhao, Gang Chen, Weifeng Chen, Yijie Chen, Liang Shi, Yaodong Yang, Peter R. Pietzuch, Lei Chen
MSRL: Distributed Reinforcement Learning with Dataflow Fragments. USENIX Annual Technical Conference (2023)
Chuming Li, Ruonan Jia, Jie Liu, Yinmin Zhang, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang
Theoretically Guaranteed Policy Improvement Distilled from Model-Based Planning. CoRR (2023)
Hanjing Wang, Man-Kit Sit, Congjie He, Ying Wen, Weinan Zhang, Jun Wang, Yaodong Yang, Luo Mai
GEAR: A GPU-Centric Experience Replay System for Large Reinforcement Learning Models. ICML (2023)
Josef Dai, Xuehai Pan, Ruiyang Sun, Jiaming Ji, Xinbo Xu, Mickel Liu, Yizhou Wang, Yaodong Yang
Safe RLHF: Safe Reinforcement Learning from Human Feedback. CoRR (2023)
Oliver Slumbers, David Henry Mguni, Stefano B. Blumberg, Stephen Marcus McAleer, Yaodong Yang, Jun Wang
A Game-Theoretic Framework for Managing Risk in Multi-Agent Systems. ICML (2023)
Chuming Li, Ruonan Jia, Jie Liu, Yinmin Zhang, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang
Theoretically Guaranteed Policy Improvement Distilled from Model-Based Planning. ECAI (2023)
Mingyu Yang, Yaodong Yang, Zhenbo Lu, Wengang Zhou, Houqiang Li
Hierarchical Multi-Agent Skill Discovery. NeurIPS (2023)
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
AI Alignment: A Comprehensive Survey. CoRR (2023)
Yifan Zhong, Jakub Grudzien Kuba, Siyi Hu, Jiaming Ji, Yaodong Yang
Heterogeneous-Agent Reinforcement Learning. CoRR (2023)
Jiaming Ji, Jiayi Zhou, Borong Zhang, Juntao Dai, Xuehai Pan, Ruiyang Sun, Weidong Huang, Yiran Geng, Mickel Liu, Yaodong Yang
OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research. CoRR (2023)
Simin Li, Ruixiao Xu, Jun Guo, Pu Feng, Jiakai Wang, Aishan Liu, Yaodong Yang, Xianglong Liu, Weifeng Lv
MIR2: Towards Provably Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization. CoRR (2023)
Jian Yao, Weiming Liu, Haobo Fu, Yaodong Yang, Stephen McAleer, Qiang Fu, Wei Yang
Policy Space Diversity for Non-Transitive Games. CoRR (2023)
Le Cong Dinh, David Henry Mguni, Long Tran-Thanh, Jun Wang, Yaodong Yang
Online Markov decision processes with non-oblivious strategic adversary. Auton. Agents Multi Agent Syst. 37 (1) (2023)
Jingbang Chen, Yian Wang, Xingwei Qu, Shuangjia Zheng, Yaodong Yang, Hao Dong, Jie Fu
Mixup-Augmented Meta-Learning for Sample-Efficient Fine-Tuning of Protein Simulators. CoRR (2023)
Yiran Geng, Boshi An, Haoran Geng, Yuanpei Chen, Yaodong Yang, Hao Dong
RLAfford: End-to-End Affordance Learning for Robotic Manipulation. ICRA (2023)
Zihao Wang, Shaofei Cai, Anji Liu, Yonggang Jin, Jinbing Hou, Bowei Zhang, Haowei Lin, Zhaofeng He, Zilong Zheng, Yaodong Yang, Xiaojian Ma, Yitao Liang
JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models. CoRR (2023)
Xiaohang Tang, Le Cong Dinh, Stephen Marcus McAleer, Yaodong Yang
Regret-Minimizing Double Oracle for Extensive-Form Games. ICML (2023)
Youpeng Zhao, Yaodong Yang, Zhenbo Lu, Wengang Zhou, Houqiang Li
Multi-Agent First Order Constrained Optimization in Policy Space. NeurIPS (2023)
David Mguni, Taher Jafferjee, Haojun Chen, Jianhong Wang, Long Fei, Xidong Feng, Stephen McAleer, Feifei Tong, Jun Wang, Yaodong Yang
MANSA: Learning Fast and Slow in Multi-Agent Systems. CoRR (2023)
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
ProAgent: Building Proactive Cooperative AI with Large Language Models. CoRR (2023)
Jiarong Liu, Yifan Zhong, Siyi Hu, Haobo Fu, Qiang Fu, Xiaojun Chang, Yaodong Yang
Maximum Entropy Heterogeneous-Agent Mirror Learning. CoRR (2023)
Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Changmin Yu, Hangyu Mao, Wulong Liu, Yaodong Yang, Wenyuan Tao, Li Wang
What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator. AAAI (2022)
Yuanpei Chen, Tianhao Wu, Shengjie Wang, Xidong Feng, Jiechuan Jiang, Zongqing Lu, Stephen McAleer, Hao Dong, Song-Chun Zhu, Yaodong Yang
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning. NeurIPS (2022)
Shangding Gu, Long Yang, Yali Du, Guang Chen, Florian Walter, Jun Wang, Yaodong Yang, Alois C. Knoll
A Review of Safe Reinforcement Learning: Methods, Theory and Applications. CoRR (2022)
Zhitao Zhu, Shijing Si, Jianzong Wang, Yaodong Yang, Jing Xiao
Debias the Black-Box: A Fair Ranking Framework via Knowledge Distillation. WISE (2022)
Ricky Sanjaya, Jun Wang, Yaodong Yang
Measuring the Non-Transitivity in Chess. Algorithms 15 (5) (2022)
Muning Wen, Jakub Grudzien Kuba, Runji Lin, Weinan Zhang, Ying Wen, Jun Wang, Yaodong Yang
Multi-Agent Reinforcement Learning is a Sequence Modeling Problem. CoRR (2022)
Zehao Dou, Jakub Grudzien Kuba, Yaodong Yang
Understanding Value Decomposition Algorithms in Deep Cooperative Multi-Agent Reinforcement Learning. CoRR (2022)
Ming Zhou, Jingxiao Chen, Ying Wen, Weinan Zhang, Yaodong Yang, Yong Yu
Efficient Policy Space Response Oracles. CoRR (2022)
Yuanpei Chen, Yaodong Yang, Tianhao Wu, Shengjie Wang, Xidong Feng, Jiechuang Jiang, Stephen Marcus McAleer, Hao Dong, Zongqing Lu, Song-Chun Zhu
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning. CoRR (2022)
Oliver Slumbers, David Henry Mguni, Stephen McAleer, Jun Wang, Yaodong Yang
Learning Risk-Averse Equilibria in Multi-Agent Systems. CoRR (2022)
Yurong Chen, Xiaotie Deng, Chenchen Li, David Mguni, Jun Wang, Xiang Yan, Yaodong Yang
On the Convergence of Fictitious Play: A Decomposition Approach. CoRR (2022)
Puhao Li, Tengyu Liu, Yuyang Li, Yiran Geng, Yixin Zhu, Yaodong Yang, Siyuan Huang
GenDexGrasp: Generalizable Dexterous Grasping. CoRR (2022)

Yaodong Yang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Yaodong Yang