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| Adaptive Multi-Agent Coordination among Different Team Attribute Tasks via Contextual Meta-Reinforcement Learning 会议论文 , 河南开封, 2024年5月17-19日 作者: Huang, Shangjing ; Zhao, Zijie; Zhu, Yuanheng ; Zhao, Dongbin![](/image/person.jpg)
Adobe PDF(15515Kb)  |   收藏  |  浏览/下载:27/10  |  提交时间:2024/06/26 |
| Enhancing Reinforcement Learning via Transformer-based State Predictive Representations 期刊论文 IEEE Transactions on Artificial Intelligence, 2024, 页码: 1 - 12 作者: Liu MS(刘民颂) ; Zhu YH(朱圆恒) ; Chen YR(陈亚冉) ; Zhao DB(赵冬斌)![](/image/person.jpg)
Adobe PDF(1162Kb)  |   收藏  |  浏览/下载:29/8  |  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:32/10  |  提交时间:2024/06/05 |
| 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:40/8  |  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 |
| 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:74/36  |  提交时间:2023/05/22 |
| 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:64/17  |  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:250/12  |  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:290/38  |  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 |