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| 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:11/5  |  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:9/5  |  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:10/1  |  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 Adobe PDF(2469Kb)  |  收藏  |  浏览/下载:52/0  |  提交时间:2023/11/16 Large-scale multiagent neighboring communication reinforcement learning (RL) variational information flow |
| 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:250/116  |  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:78/21  |  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:53/13  |  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:101/40  |  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:223/3  |  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:265/30  |  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 |