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8条，第1-8条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
Boosting On-Policy Actor–Critic With Shallow Updates in Critic 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2024, 页码: 1-10
作者:  Luntong Li;  Yuanheng Zhu
Adobe PDF(9953Kb)  |  收藏  |  浏览/下载：47/15  |  提交时间：2024/06/05
MAT: Morphological Adaptive Transformer for Universal Morphology Policy Learning 期刊论文
IEEE Transactions on Cognitive and Developmental Systems, 2024, 页码: 1-12
作者:  Boyu Li;  Haran Li;  Yuanheng Zhu;  Dongbin Zhao
Adobe PDF(9953Kb)  |  收藏  |  浏览/下载：34/10  |  提交时间：2024/06/05
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：156/49  |  提交时间：2023/06/28
reinforcement learning  unsupervised clustering  matrix game  
Reinforcement Learning for Build-Order Production in StarCraft II 会议论文
, Cordoba, Granada, and Seville, Spain, 30 June-6 July 2018
作者:  Zhentao Tang;  Dongbin Zhao;  Yuanheng Zhu;  Ping Guo
Adobe PDF(2680Kb)  |  收藏  |  浏览/下载：203/61  |  提交时间：2021/07/07
A Review of Computational Intelligence for StarCraft AI 会议论文
, Bangalore, India, 18-21 Nov. 2018
作者:  Tang, Zhentao;  Shao, Kun;  Zhu, Yuanheng;  Li, Dong;  Zhao, Dongbin;  Huang, Tingwen
浏览  |  Adobe PDF(131Kb)  |  收藏  |  浏览/下载：529/236  |  提交时间：2019/04/25
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：365/137  |  提交时间：2019/04/22
Reinforcement Learning, Transfer Learning, Curriculum Learning, Neural Network, Game Ai  
Deep reinforcement learning with Experience Replay based on SARSA 会议论文
, *, 2016-9
作者:  Zhao,Dongbin（赵冬斌）;  Wang,Haitao;  Shao,Kun;  Zhu,Yuanheng
浏览  |  Adobe PDF(1288Kb)  |  收藏  |  浏览/下载：417/182  |  提交时间：2018/01/04
Deep Learning  Reinforcement Learning  Experience Replay  q Learning  Sarsa Learning  
Cooperative Reinforcement Learning for Multiple Units Combat in StarCraft 会议论文
, Honolulu, Hawaii, USA, Nov. 27 to Dec 1, 2017
作者:  Shao K(邵坤);  Zhu YH(朱圆恒);  Zhao DB(赵冬斌)
浏览  |  Adobe PDF(1378Kb)  |  收藏  |  浏览/下载：575/278  |  提交时间：2017/09/20