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| NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks 会议论文 , Queensland, Australia, 2023-6 作者: Hu GZ(胡光政) ; Li HR(李浩然) ; Liu SS(刘莎莎); Zhu YH(朱圆恒) ; Zhao DB(赵冬斌)![](/image/person.jpg)
Adobe PDF(2785Kb)  |   收藏  |  浏览/下载:32/9  |  提交时间:2024/07/04 |
| An Improved Minimax-Q Algorithm Based on Generalized Policy Iteration to Solve a Chaser-Invader Game 会议论文 , 线上, 2020-5 作者: Liu MS(刘民颂) ; Zhu YH(朱圆恒) ; Zhao DB(赵冬斌)![](/image/person.jpg)
Adobe PDF(727Kb)  |   收藏  |  浏览/下载:16/8  |  提交时间:2024/07/04 |
| Soft Contrastive Learning with Q-irrelevance Abstraction for Reinforcement Learning 期刊论文 IEEE Transactions on Cognitive and Developmental Systems, 2023, 卷号: 15, 期号: 3, 页码: 1463 - 1473 作者: Liu MS(刘民颂) ; Li LT(李伦通); Hao S(郝帅); Zhu YH(朱圆恒) ; Zhao DB(赵冬斌)![](/image/person.jpg)
Adobe PDF(4197Kb)  |   收藏  |  浏览/下载:37/13  |  提交时间:2024/06/24 |
| FM3Q: Factorized Multi-Agent MiniMax Q-Learning for Two-Team Zero-Sum Markov Game 期刊论文 IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, 页码: 1-13 作者: Guangzheng Hu ; Yuanheng Zhu ; Haoran Li ; Dongbin Zhao![](/image/person.jpg)
Adobe PDF(2144Kb)  |   收藏  |  浏览/下载:38/7  |  提交时间:2024/06/05 Games Q-learning Task analysis Optimization Convergence Training Nash equilibrium Multi-agent reinforcement learning minimax-Q learning two-team zero-sum Markov games |
| NVIF: Neighboring Variational Information Flow for Cooperative Large-Scale Multiagent Reinforcement Learning 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 13 作者: Chai, Jiajun ; Zhu, Yuanheng ; Zhao, Dongbin![](/image/person.jpg)
Adobe PDF(2469Kb)  |   收藏  |  浏览/下载:62/3  |  提交时间:2023/11/16 Large-scale multiagent neighboring communication reinforcement learning (RL) variational information flow |
| Advantage Constrained Proximal Policy Optimization in Multi-Agent Reinforcement Learning 会议论文 , 昆士兰, 2023-6 作者: Li WF(李伟凡) ; Zhu YH(朱圆恒) ; Zhao DB(赵冬斌)![](/image/person.jpg)
Adobe PDF(4104Kb)  |   收藏  |  浏览/下载:256/81  |  提交时间:2023/06/29 multi-agent reinforcement learning policy gradient |
| A Hierarchical Deep Reinforcement Learning Framework for 6-DOF UCAV Air-to-Air Combat 期刊论文 IEEE Transactions on Systems, Man and Cybernetics: Systems, 2023, 页码: DOI: 10.1109/TSMC.2023.3270444 作者: Jiajun Chai ; Wenzhang Chen; Yuanheng Zhu ; Zong-xin Yao,; Dongbin Zhao![](/image/person.jpg)
Adobe PDF(9249Kb)  |   收藏  |  浏览/下载:287/126  |  提交时间:2023/04/26 |
| Empirical Policy Optimization for n-Player Markov Games 期刊论文 IEEE Transactions on Cybernetics, 2022, 页码: doi={10.1109/TCYB.2022.3179775} 作者: Yuanheng Zhu ; Weifan Li ; Mengchen Zhao; Jianye Hao; Dongbin Zhao![](/image/person.jpg)
Adobe PDF(1739Kb)  |   收藏  |  浏览/下载:111/44  |  提交时间:2023/04/26 |
| Online Minimax Q Network Learning for Two-Player Zero-Sum Markov Games 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 3, 页码: 1228-1241 作者: Zhu, Yuanheng ; Zhao, Dongbin![](/image/person.jpg)
Adobe PDF(2838Kb)  |   收藏  |  浏览/下载:249/12  |  提交时间:2022/06/10 Games Nash equilibrium Mathematical model Markov processes Convergence Dynamic programming Training Deep reinforcement learning (DRL) generalized policy iteration (GPI) Markov game (MG) Nash equilibrium Q network zero sum |
| UNMAS: Multiagent Reinforcement Learning for Unshaped Cooperative Scenarios 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 12 作者: Chai, Jiajun ; Li, Weifan ; Zhu, Yuanheng ; Zhao, Dongbin ; Ma, Zhe; Sun, Kewu; Ding, Jishiyu
Adobe PDF(3402Kb)  |   收藏  |  浏览/下载:289/37  |  提交时间:2022/01/27 Multi-agent systems Training Task analysis Reinforcement learning Sun Learning systems Semantics Centralized training with decentralized execution (CTDE) multiagent reinforcement learning StarCraft II |