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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：41/0 | 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：198/68 | 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：103/34 | 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：54/28 | 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：196/107 | 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：67/17 | 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：39/8 | 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：88/35 | 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：192/0 | 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：224/24 | 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 |
