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| 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:34/14  |  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:53/17  |  提交时间:2024/06/24 |
| MAT: Morphological Adaptive Transformer for Universal Morphology Policy Learning 期刊论文 IEEE Transactions on Cognitive and Developmental Systems, 2024, 页码: 1-12 作者: Boyu Li; Haran Li; Yuanheng Zhu ; Dongbin Zhao![](/image/person.jpg)
Adobe PDF(9953Kb)  |   收藏  |  浏览/下载:42/12  |  提交时间:2024/06/05 |
| 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:66/5  |  提交时间:2023/11/16 Large-scale multiagent neighboring communication reinforcement learning (RL) variational information flow |
| 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)![](/image/person.jpg)
Adobe PDF(488Kb)  |   收藏  |  浏览/下载:158/51  |  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:77/37  |  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![](/image/person.jpg)
Adobe PDF(9249Kb)  |   收藏  |  浏览/下载:299/130  |  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![](/image/person.jpg)
Adobe PDF(2210Kb)  |   收藏  |  浏览/下载:72/20  |  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:117/48  |  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:260/16  |  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 |