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Prototypical context-aware dynamics generalization for high-dimensional model-based reinforcement learning 会议论文
, Kigali City, Rwanda, Africa, 2023-5-5
作者:  Junjie, Wang;  Yao, Mu;  Dong, Li;  Qichao,Zhang;  Dongbin, Zhao;  Yuzheng, Zhuang;  Ping, Luo;  Bin, Wang;  Jianye, Hao
Adobe PDF(3492Kb)  |  收藏  |  浏览/下载：112/35  |  提交时间：2023/06/29
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：195/106  |  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：131/53  |  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：185/0  |  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  
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：87/35  |  提交时间：2023/04/26
Deep Reinforcement Learning-Based Automatic Exploration for Navigation in Unknown Environment 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 6, 页码: 2064-2076
作者:  Li, Haoran;  Zhang, Qichao;  Zhao, Dongbin
浏览  |  Adobe PDF(4274Kb)  |  收藏  |  浏览/下载：336/110  |  提交时间：2020/08/03
Robot sensing systems  Navigation  Entropy  Neural networks  Task analysis  Planning  Automatic exploration  deep reinforcement learning (DRL)  optimal decision  partial observation  
Multi-Agent Reinforcement Learning Based on Clustering in Two-Player Games 会议论文
, Xiamen, China, 2019-12-6
作者:  Li WF(李伟凡);  Zhu YH(朱圆恒);  Zhao DB(赵冬斌)
Adobe PDF(488Kb)  |  收藏  |  浏览/下载：94/33  |  提交时间：2023/06/28
reinforcement learning  unsupervised clustering  matrix game  
Multi-Objective Neural Architecture Search for Light-Weight Model 会议论文
, Hangzhou, China, 22-24 November 2019
作者:  Nannan Li;  Yaran Chen;  Zixiang Ding;  Dongbin Zhao;  Zhonghua Pang;  Ruisheng Qin
Adobe PDF(430Kb)  |  收藏  |  浏览/下载：99/38  |  提交时间：2023/06/27
Neural architecture search  light-weight  multi-objective  reinforcement learning  image classification  
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：390/119  |  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  
Adaptive cruise control via adaptive dynamic programming with experience replay 期刊论文
SOFT COMPUTING, 2019, 卷号: 23, 期号: 12, 页码: 4131-4144
作者:  Wang, Bin;  Zhao, Dongbin;  Cheng, Jin
收藏  |  浏览/下载：203/0  |  提交时间：2019/07/11
Adaptive cruise control  Adaptive dynamic programming  Experience replay  Reinforcement learning  Neural networks