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	Multi-task safe reinforcement learning for navigating intersections in dense traffic 期刊论文 JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2023, 卷号: 360, 期号: 17, 页码: 13737-13760 作者: Liu, Yuqi; Gao, Yinfeng; Zhang, Qichao; Ding, Dawei; Zhao, Dongbin Adobe PDF(3095Kb) \| 收藏 \| 浏览/下载：86/18 \| 提交时间：2024/02/22
	Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13 作者: Hu, Guangzheng; Zhu, Yuanheng; Zhao, Dongbin; Zhao, Mengchen; Hao, Jianye Adobe PDF(4187Kb) \| 收藏 \| 浏览/下载：264/12 \| 提交时间：2022/01/27 Bandwidth Protocols Reinforcement learning Task analysis Optimization Communication networks Multi-agent systems Event trigger limited bandwidth multi-agent communication multi-agent reinforcement learning (MARL)
	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：355/75 \| 提交时间：2021/07/05 Rolling horizon evolution opponent model reinforcement learning supervised learning fighting game
	Reinforcement Learning and Deep Learning based Lateral Control for Autonomous Driving 期刊论文 IEEE Computational Intelligence Magazine, IEEE Computational Intelligence Magazine, 2019, 2019, 卷号: 14, 14, 期号: 2, 页码: 83-98, 83-98 作者: Dong Li; Dongbin Zhao; Qichao Zhang; Yaran Chen 浏览 \| Adobe PDF(2205Kb) \| 收藏 \| 浏览/下载：396/114 \| 提交时间：2019/04/25 Deep Learning Autonomous Driving Visual Control Reinforcement Learning Deep Learning Autonomous Driving Visual Control Reinforcement Learning
	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：364/137 \| 提交时间：2019/04/22 Reinforcement Learning, Transfer Learning, Curriculum Learning, Neural Network, Game Ai
	Clique-based cooperative multiagent reinforcement learning using factor graphs 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2015, 卷号: 3, 期号: 1, 页码: 248-256 作者: Zhang,Zhen; Zhao DB(赵冬斌) 浏览 \| Adobe PDF(707Kb) \| 收藏 \| 浏览/下载：236/96 \| 提交时间：2017/12/30 Reinforcement Learning Factor Graphs
	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：219/82 \| 提交时间：2017/09/13
	Online reinforcement learning for continuous-state systems 专著章节/文集论文出自: Frontiers of Intelligent Control and Information Processing, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore, Singapore:World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, World Scientific, 2014 作者: Yuanheng Zhu; Zhao DB(赵冬斌) Adobe PDF(24150Kb) \| 收藏 \| 浏览/下载：277/35 \| 提交时间：2017/09/13
	Consensus of Heterogeneous Multi-agent Systems With Switching Topologies Using Input-output Feedback Linearization 会议论文 , Hangzhou, China, 2015-7 作者: Zhang,Qichao; Zhao, Dongbin; Wei, Qinglai; Li, Chengdong 浏览 \| Adobe PDF(282Kb) \| 收藏 \| 浏览/下载：282/89 \| 提交时间：2017/05/04 Multi-agent Systems Switching Topologies Nonlinear Heterogeneous Systems Communication Failures Input-output Feedback
	Model-free Optimal Control based Intelligent Cruise Control with Hardware-in-the-loop Demonstration 期刊论文 IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE, 2017, 卷号: 12, 期号: 2, 页码: 56-69 作者: Zhao, Dongbin; Xia, Zhongpu; Zhang, Qichao 浏览 \| Adobe PDF(4525Kb) \| 收藏 \| 浏览/下载：608/195 \| 提交时间：2017/05/04 Intelligent Cruise Control

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