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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：53/11  |  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  
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：117/48  |  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：260/16  |  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  
StarCraft Micromanagement With Reinforcement Learning and Curriculum Transfer Learning 期刊论文
IEEE Transactions on Emerging Topics in Computational Intelligence, 2019, 卷号: 3, 期号: 1, 页码: 73-84
作者:  Kun Shao;  Yuanheng Zhu;  Dongbin Zhao
浏览  |  Adobe PDF(4125Kb)  |  收藏  |  浏览/下载：368/138  |  提交时间：2019/04/22
Reinforcement Learning, Transfer Learning, Curriculum Learning, Neural Network, Game Ai  
Thermal Comfort Control Based on MEC Algorithm for HVAC System 会议论文
, Killarney, Ireland, 12-17 July 2015
作者:  Li, Dong;  Zhao, Dongbin;  Zhu, Yuanheng;  Xia, Zhongpu
浏览  |  Adobe PDF(895Kb)  |  收藏  |  浏览/下载：206/83  |  提交时间：2017/12/28
A data-based online reinforcement learning algorithm with high-efficient exploration 会议论文
, Orlando, FL, USA, Dec, 2014
作者:  Yuanheng Zhu;  Zhao DB(赵冬斌)
浏览  |  Adobe PDF(407Kb)  |  收藏  |  浏览/下载：223/85  |  提交时间：2017/09/13
Online reinforcement learning for continuous-state systems 专著章节/文集论文
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作者:  Yuanheng Zhu;  Zhao DB(赵冬斌)
Adobe PDF(24150Kb)  |  收藏  |  浏览/下载：288/38  |  提交时间：2017/09/13
Convergence Proof of Approximate Policy Iteration for Undiscounted Optimal Control of Discrete-Time Systems 期刊论文
COGNITIVE COMPUTATION, 2015, 卷号: 7, 期号: 6, 页码: 763-771
作者:  Zhu, Yuanheng;  Zhao, Dongbin;  He, Haibo;  Ji, Junhong
Adobe PDF(809Kb)  |  收藏  |  浏览/下载：279/44  |  提交时间：2016/01/18
Approximate Policy Iteration  Approximation Error  Optimal Control  Fuzzy Approximator  
A data-based online reinforcement learning algorithm satisfying probably approximately correct principle 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2015, 卷号: 26, 期号: 4, 页码: 775-787
作者:  Zhu, Yuanheng;  Zhao, Dongbin
Adobe PDF(1331Kb)  |  收藏  |  浏览/下载：286/64  |  提交时间：2015/09/21
Reinforcement Learning  Probably Approximately Correct  Kd-tree  
MEC-A Near-Optimal Online Reinforcement Learning Algorithm for Continuous Deterministic Systems 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2015, 卷号: 26, 期号: 2, 页码: 346-356
作者:  Zhao, Dongbin;  Zhu, Yuanheng
Adobe PDF(2156Kb)  |  收藏  |  浏览/下载：302/118  |  提交时间：2015/09/18
Efficient Exploration  Probably Approximately Correct (Pac)  Reinforcement Learning (Rl)  State Aggregation