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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：85/34  |  提交时间：2023/04/26
Optimal Pedestrian Evacuation in Building with Consecutive Differential Dynamic Programming 会议论文
, Budapest, Hungary, 2019-7-14
作者:  Zhu YH(朱圆恒);  Haibo He;  Dongbin Zhao;  Zhongsheng Hou
Adobe PDF(679Kb)  |  收藏  |  浏览/下载：51/27  |  提交时间：2023/05/22
Data-Based Reinforcement Learning for Nonzero-Sum Games With Unknown Drift Dynamics 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 期号: 8, 页码: 2874-2885
作者:  Zhang, Qichao;  Zhao, Dongbin
浏览  |  Adobe PDF(1021Kb)  |  收藏  |  浏览/下载：383/118  |  提交时间：2019/07/12
Integral reinforcement learning (IRL)  neural network (NN)  nonzero-sum (NZS) games  off-policy  single-critic  unknown drift dynamics  
An Autonomous Driving Experience Platform with Learning-Based Functions 会议论文
, Bangalore, India, 18-21 Nov. 2018
作者:  Li, Dong;  Zhao, Dongbin;  Zhang, Qichao;  Zhu, Yuanheng
浏览  |  Adobe PDF(215Kb)  |  收藏  |  浏览/下载：258/67  |  提交时间：2019/04/25
DeepSign: Deep Learning based Traffic Sign Recognition 会议论文
, Rio de Janeiro, Brazil, 8-13 July 2018
作者:  Li, Dong;  Zhao, Dongbin;  Chen, Yaran;  Zhang, Qichao
浏览  |  Adobe PDF(6951Kb)  |  收藏  |  浏览/下载：267/89  |  提交时间：2019/04/25
Comprehensive comparison of online ADP algorithms for continuous-time optimal control 期刊论文
ARTIFICIAL INTELLIGENCE REVIEW, 2018, 卷号: 49, 期号: 4, 页码: 531-547
作者:  Zhu, Yuanheng;  Zhao, Dongbin
Adobe PDF(766Kb)  |  收藏  |  浏览/下载：397/180  |  提交时间：2017/09/13
Adaptive Dynamic Programming  Policy Iteration  Integral Reinforcement Learning  Experience Replay  Off-policy  
Policy Iteration for H infinity Optimal Control of Polynomial Nonlinear Systems via Sum of Squares Programming 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 2, 页码: 500-509
作者:  Zhu, Yuanheng;  Zhao, Dongbin;  Yang, Xiong;  Zhang, Qichao
Adobe PDF(892Kb)  |  收藏  |  浏览/下载：274/33  |  提交时间：2018/10/10
Adaptive Dynamic Programming (Adp)  h Infinity Optimal Control  Policy Iteration (Pi)  Polynomial Nonlinear Systems  Sum Of Squares (Sos)  
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：203/33  |  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  
Policy Iteration for Hinfinity Optimal Control of Polynomial Nonlinear Systems via Sum of Squares Programming 期刊论文
IEEE Transactions on Cybernetics, 2017, 期号: PP, 页码: 1-9
作者:  Yuanheng Zhu;  Zhao DB(赵冬斌)
浏览  |  Adobe PDF(894Kb)  |  收藏  |  浏览/下载：319/157  |  提交时间：2017/09/13
Adaptive Dynamic Programming (Adp)  H∞ Optimal Control  Policy Iteration (Pi)  Polynomial Nonlinear Systems  Sum Of Squares (Sos)  
Online reinforcement learning control by Bayesian inference 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2016, 卷号: 10, 期号: 12, 页码: 1331-1338
作者:  Xia, Zhongpu;  Zhao, Dongbin;  Dongbin Zhao
浏览  |  Adobe PDF(1559Kb)  |  收藏  |  浏览/下载：326/112  |  提交时间：2016/06/15
Learning Systems  Bayes Methods  Gaussian Processes  Optimal Control  Online Reinforcement Learning Control  Bayesian Inference  Self-learning Control  Probability  Action Value Function  Gaussian Process  Bayesian-state-action-reward-state-action Algorithm