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| Data Generation Feedback Relearning Control for Unmodeled Nonlinear Systems 期刊论文 IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2023, 页码: 12 作者: Zhang, Yong; Mu, Chaoxu; Zhao, Dongbin 收藏  |  浏览/下载:63/0  |  提交时间:2023/11/16 Data models Real-time systems Heuristic algorithms Mathematical models Adaptation models Approximation algorithms Cost function Data generation model feedback relearning control delayed neural network reinforcement learning unmodeled nonlinear system |
| 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 |
| Enhanced Rolling Horizon Evolution Algorithm With Opponent Model Learning: Results for the Fighting Game AI Competition 期刊论文 IEEE TRANSACTIONS ON GAMES, 2023, 卷号: 5, 期号: 1, 页码: 5 - 15 作者: Zhentao Tang; Yuanheng Zhu; Dongbin Zhao; Simon M. Lucas Adobe PDF(7686Kb)  |  收藏  |  浏览/下载:215/60  |  提交时间:2021/07/05 Rolling horizon evolution opponent model reinforcement learning supervised learning fighting 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:196/107  |  提交时间:2023/04/26 |
| Dynamic-horizon model-based value estimation with latent imagination 期刊论文 IEEE Transactions on Neural Networks and Learning Systems, 2022, 页码: 1-14 作者: Wang JJ(王俊杰); Zhang QC(张启超); Zhao DB(赵冬斌) Adobe PDF(2305Kb)  |  收藏  |  浏览/下载:141/55  |  提交时间:2023/05/30 Latent world model model-based value expansion (MVE) reinforcement learning reinforcement learning |
| 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 |
| 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 |
| 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 |
| Missile guidance with assisted deep reinforcement learning for head-on interception of maneuvering target 期刊论文 COMPLEX & INTELLIGENT SYSTEMS, 2021, 页码: 12 作者: Li, Weifan; Zhu, Yuanheng; Zhao, Dongbin Adobe PDF(1431Kb)  |  收藏  |  浏览/下载:266/48  |  提交时间:2021/12/28 Reinforcement learning Missile guidance Auxiliary learning Self-imitation learning |
| 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 |