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| NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks 会议论文 , Queensland, Australia, 2023-6 作者: Hu GZ(胡光政); Li HR(李浩然); Liu SS(刘莎莎); Zhu YH(朱圆恒); Zhao DB(赵冬斌) Adobe PDF(2785Kb)  |  收藏  |  浏览/下载:33/9  |  提交时间:2024/07/04 |
| 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:24/10  |  提交时间:2024/07/04 |
| Boosting On-Policy Actor–Critic With Shallow Updates in Critic 期刊论文 IEEE Transactions on Neural Networks and Learning Systems, 2024, 页码: 1-10 作者: Luntong Li; Yuanheng Zhu Adobe PDF(9953Kb)  |  收藏  |  浏览/下载:45/15  |  提交时间:2024/06/05 |
| 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:34/10  |  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 Adobe PDF(2144Kb)  |  收藏  |  浏览/下载:44/8  |  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 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 |
| 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:156/49  |  提交时间:2023/06/28 reinforcement learning unsupervised clustering matrix game |
| 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:252/12  |  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:291/38  |  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 |
| 深度强化学习进展: 从 AlphaGo 到 AlphaGo Zero 期刊论文 控 制 理 论 与 应 用, 2017, 卷号: 34, 期号: 12, 页码: 1529-1546 作者: 唐振韬; 邵 坤; 赵冬斌; 朱圆恒 Adobe PDF(8232Kb)  |  收藏  |  浏览/下载:283/46  |  提交时间:2021/07/05 深度强化学习 AlphaGo Zero 深度学习 强化学习 人工智能 |