中文版 | English

在结果中检索

CASIA OpenIR
（本次检索基于用户作品认领结果）

浏览/检索结果: 共36条，第1-10条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
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：209/58  |  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：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  
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
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：215/23  |  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  
MGRL: Graph neural network based inference in a Markov network with Reinforcement Learning for visual navigation 期刊论文
Neurocomputing, 2021, 卷号: 0, 期号: 0, 页码: 0
作者:  Lu, Yi;  Chen, Yaran;  Zhao, Dongbin;  Li, Dong
浏览  |  Adobe PDF(976Kb)  |  收藏  |  浏览/下载：225/67  |  提交时间：2020/10/19
Visual navigation, graph neural network, Markov network, reinforcement learning, probabilistic graph model  
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：335/110  |  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  
BNAS: Efficient Neural Architecture Search Using Broad Scalable Architecture 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 期号: 0, 页码: 0
作者:  Ding ZX(丁子祥);  Yaran, Chen;  Nannan, Li;  Dingbin, Zhao;  Zhiquan, Sun;  C. L. Philip Chen
Adobe PDF(2713Kb)  |  收藏  |  浏览/下载：149/39  |  提交时间：2022/01/06
Broad convolutional neural network (BCNN), image classification, neural architecture search (NAS), reinforcement learning (RL)  
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：52/27  |  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：389/119  |  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