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


Jun 12, 2021
Ying Wen, Hui Chen, Yaodong Yang, Zheng Tian, Minne Li, Xu Chen, Jun Wang

* A Multi-Agent Trust Region Learning (MATRL) algorithm that augments the single-agent trust region policy optimization with a weak stable fixed point approximated by the policy-space meta-game 

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


Jun 10, 2021
Xiangyu Liu, Hangtian Jia, Ying Wen, Yaodong Yang, Yujing Hu, Yingfeng Chen, Changjie Fan, Zhipeng Hu

* We investigate a new perspective on unifying diversity measures for open-ended learning in zero-sum games, which shapes an auto-curriculum to induce diverse yet effective behaviors 

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


Jun 05, 2021
Ming Zhou, Ziyu Wan, Hanjing Wang, Muning Wen, Runzhe Wu, Ying Wen, Yaodong Yang, Weinan Zhang, Jun Wang

* 24 pages, 17 figures, 5 tables 

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Discovering Multi-Agent Auto-Curricula in Two-Player Zero-Sum Games


Jun 04, 2021
Xidong Feng, Oliver Slumbers, Yaodong Yang, Ziyu Wan, Bo Liu, Stephen McAleer, Ying Wen, Jun Wang

* corresponding to  

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


Feb 16, 2021
Yaodong Yang, Jun Luo, Ying Wen, Oliver Slumbers, Daniel Graves, Haitham Bou Ammar, Jun Wang, Matthew E. Taylor

* AAMAS 2021 

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SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving


Nov 01, 2020
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

* 20 pages, 11 figures. Paper accepted to CoRL 2020 

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Convolutional Neural Network optimization via Channel Reassessment Attention module


Oct 12, 2020
YuTao Shen, Ying Wen


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Multi-Agent Determinantal Q-Learning


Jun 09, 2020
Yaodong Yang, Ying Wen, Liheng Chen, Jun Wang, Kun Shao, David Mguni, Weinan Zhang

* ICML 2020 

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Segmenting Medical MRI via Recurrent Decoding Cell


Nov 21, 2019
Ying Wen, Kai Xie, Lianghua He

* 8 pages, 7 figures, AAAI-20 

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A Regularized Opponent Model with Maximum Entropy Objective


May 17, 2019
Zheng Tian, Ying Wen, Zhichen Gong, Faiz Punakkath, Shihao Zou, Jun Wang


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Multi-Agent Generalized Recursive Reasoning


Jan 26, 2019
Ying Wen, Yaodong Yang, Rui Lu, Jun Wang


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Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning


Jan 26, 2019
Ying Wen, Yaodong Yang, Rui Luo, Jun Wang, Wei Pan

* ICLR 2019 

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Learning to Design Games: Strategic Environments in Reinforcement Learning


May 23, 2018
Haifeng Zhang, Jun Wang, Zhiming Zhou, Weinan Zhang, Ying Wen, Yong Yu, Wenxin Li


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


May 14, 2018
Yaodong Yang, Lantao Yu, Yiwei Bai, Jun Wang, Weinan Zhang, Ying Wen, Yong Yu

* Full version of the paper presented at AAMAS 2018 (International Conference on Autonomous Agents and Multiagent Systems) 

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


Sep 14, 2017
Peng Peng, Ying Wen, Yaodong Yang, Quan Yuan, Zhenkun Tang, Haitao Long, Jun Wang

* 10 pages, 10 figures. Previously as title: "Multiagent Bidirectionally-Coordinated Nets for Learning to Play StarCraft Combat Games", Mar 2017 

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Product-based Neural Networks for User Response Prediction


Nov 01, 2016
Yanru Qu, Han Cai, Kan Ren, Weinan Zhang, Yong Yu, Ying Wen, Jun Wang

* 6 pages, 5 figures, ICDM2016 

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Learning text representation using recurrent convolutional neural network with highway layers


Aug 02, 2016
Ying Wen, Weinan Zhang, Rui Luo, Jun Wang

* Neu-IR '16 SIGIR Workshop on Neural Information Retrieval 

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