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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)
 Adobe PDF(727Kb) |  收藏 | 浏览/下载：15/7 | 提交时间：2024/07/04 |
| 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
 Adobe PDF(9953Kb) | 收藏 | 浏览/下载：22/7 | 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
Adobe PDF(2144Kb) | 收藏 | 浏览/下载：32/4 | 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
Adobe PDF(2469Kb) | 收藏 | 浏览/下载：61/3 | 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)
Adobe PDF(4104Kb) | 收藏 | 浏览/下载：248/80 | 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：153/48 | 提交时间：2023/06/28
reinforcement learning unsupervised clustering matrix game |
| 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：279/121 | 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：109/43 | 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
Adobe PDF(2838Kb) | 收藏 | 浏览/下载：239/8 | 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：280/33 | 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 |
