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基于深度强化学习的游戏智能决策 学位论文
工学博士学位, 中国科学院自动化研究所: 中国科学院大学, 2019
Authors:  邵坤
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深度强化学习  深度学习  强化学习  智能决策  游戏人工智能  多智能体系统  
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
Authors:  Kun Shao;  Yuanheng Zhu;  Dongbin Zhao
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Reinforcement Learning, Transfer Learning, Curriculum Learning, Neural Network, Game Ai  
A Review of Computational Intelligence for StarCraft AI 会议论文
, Bangalore, India, 18-21 Nov. 2018
Authors:  Tang, Zhentao;  Shao, Kun;  Zhu, Yuanheng;  Li, Dong;  Zhao, Dongbin;  Huang, Tingwen
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Learning battles in ViZDoom via deep reinforcement learning 会议论文
, Maastricht, The Netherlands, 2018-08
Authors:  Kun Shao;  Dongbin Zhao;  Nannan Li;  Yuanheng Zhu
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Reinforcement Learning, Deep Learning, Game Ai  
Visual navigation with Actor-Critic deep reinforcement learning 会议论文
, Rio, Brazil, 2018-01
Authors:  Kun Shao;  Dongbin Zhao;  Yuanheng Zhu;  Qichao Zhang
View  |  Adobe PDF(1827Kb)  |  Favorite  |  View/Download:38/27  |  Submit date:2019/04/22
ADP with MCTS algorithm for Gomoku 会议论文
, Athens, Greece, 6-9 Dec. 2016
Authors:  Tang Zhentao;  Zhao Dongbin;  Shao Kun;  Lv Le
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Cooperative Reinforcement Learning for Multiple Units Combat in StarCraft 会议论文
, Honolulu, Hawaii, USA, Nov. 27 to Dec 1, 2017
Authors:  Shao K(邵坤);  Zhu YH(朱圆恒);  Zhao DB(赵冬斌)
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Move Prediction in Gomoku Using Deep Learning 会议论文
, Wuhan, China, November 11-13, 2016
Authors:  Shao, Kun;  Zhao, Bongbin;  Tang, Zhentao;  Zhu, Yuanheng
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Gomoku  Move Prediction  Deep Learning  Deep Convolutional Network  
Deep reinforcement learning with Experience Replay based on SARSA 会议论文
, *, 2016-9
Authors:  Zhao,Dongbin(赵冬斌);  Wang,Haitao;  Shao,Kun;  Zhu,Yuanheng
View  |  Adobe PDF(1288Kb)  |  Favorite  |  View/Download:92/46  |  Submit date:2018/01/04
Deep Learning  Reinforcement Learning  Experience Replay  q Learning  Sarsa Learning  
深度强化学习综述:兼论计算机围棋的发展 期刊论文
控制理论与应用, 2016, 卷号: 33, 期号: 6, 页码: 701-717
Authors:  赵冬斌;  邵坤;  朱圆恒;  李栋;  陈亚冉;  王海涛;  刘德荣;  周彤;  王成红
View  |  Adobe PDF(2816Kb)  |  Favorite  |  View/Download:530/215  |  Submit date:2017/09/13
深度强化学习  初弈号  深度学习  强化学习  人工智能