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| 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 收藏  |  浏览/下载:43/0  |  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) Adobe PDF(4104Kb)  |  收藏  |  浏览/下载:218/71  |  提交时间:2023/06/29 multi-agent reinforcement learning policy gradient |
| Multi-Agent Reinforcement Learning Based on Clustering in Two-Player Games 会议论文 , Xiamen, China, 2019-12-6 作者: Li WF(李伟凡); Zhu YH(朱圆恒); Zhao DB(赵冬斌) Adobe PDF(488Kb)  |  收藏  |  浏览/下载:115/36  |  提交时间:2023/06/28 reinforcement learning unsupervised clustering matrix game |
| Optimal Pedestrian Evacuation in Building with Consecutive Differential Dynamic Programming 会议论文 , Budapest, Hungary, 2019-7-14 作者: Zhu YH(朱圆恒); Haibo He; Dongbin Zhao; Zhongsheng Hou Adobe PDF(679Kb)  |  收藏  |  浏览/下载:61/30  |  提交时间:2023/05/22 |
| 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 Adobe PDF(9249Kb)  |  收藏  |  浏览/下载:210/112  |  提交时间:2023/04/26 |
| Soft Contrastive Learning with Q-irrelevance Abstraction for Reinforcement Learning 期刊论文 IEEE Transactions on Cognitive and Developmental Systems, 2022, 页码: doi={10.1109/TCDS.2022.3218940} 作者: Minsong Liu; Luntong Li; Shuai Hao; Yuanheng Zhu; Dongbin Zhao Adobe PDF(12013Kb)  |  收藏  |  浏览/下载:73/19  |  提交时间:2023/04/26 |
| Vision-based control in the open racing car simulator with deep and reinforcement learning 期刊论文 Journal of Ambient Intelligence and Humanized Computing, 2019, 页码: doi={10.1007/s12652-019-01503-y} 作者: Yuanheng Zhu; Dongbin Zhao Adobe PDF(2210Kb)  |  收藏  |  浏览/下载:46/11  |  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 Adobe PDF(1739Kb)  |  收藏  |  浏览/下载:95/38  |  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 收藏  |  浏览/下载:206/0  |  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:241/25  |  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 |