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Strategy Selection in Complex Game Environments Based on Transfer Reinforcement Learning
2019 International Joint Conference on Neural Networks (IJCNN)
◽
10.1109/ijcnn.2019.8852019
◽
2019
◽
Author(s):
Hongwei Ge
◽
Mingde Zhao
◽
Kai Zhang
◽
Liang Sun
Keyword(s):
Reinforcement Learning
◽
Strategy Selection
◽
Game Environments
Download Full-text
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IEEE International Symposium on Intelligent Control
◽
10.1109/isic.2006.285608
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2006
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Author(s):
S. Orafa
◽
M.J. Yazdanpanah
◽
C. Lucas
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A. Rahimikian
◽
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Decision Making
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Reinforcement Learning in Card Game Environments Using Monte Carlo Methods and Artificial Neural Networks
2019 4th International Conference on Computer Science and Engineering (UBMK)
◽
10.1109/ubmk.2019.8907235
◽
2019
◽
Author(s):
Omer Baykal
◽
Ferda Nur Alpaslan
Keyword(s):
Neural Networks
◽
Monte Carlo
◽
Artificial Neural Networks
◽
Reinforcement Learning
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Monte Carlo Methods
◽
Card Game
◽
Artificial Neural
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An Adaptive Strategy Selection Method With Reinforcement Learning for Robotic Soccer Games
IEEE Access
◽
10.1109/access.2018.2808266
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2018
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Vol 6
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Author(s):
Haobin Shi
◽
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◽
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Shike Yang
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Reinforcement Learning
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Adaptive Strategy
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Selection Method
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Strategy Selection
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Robotic Soccer
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Strategy Selection by Reinforcement Learning for Multi-car Elevator Systems
2013 IEEE International Conference on Systems, Man, and Cybernetics
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10.1109/smc.2013.423
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Reinforcement learning on strategy selection for a cooperative robot system
2005 IEEE International Conference on Robotics and Biomimetics - ROBIO
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Yu-Jen Chen
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Ching-Huang Lee
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Keyword(s):
Reinforcement Learning
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Strategy Selection
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Robot System
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Selection For
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Deep Reinforcement Learning in Strategic Board Game Environments
Multi-Agent Systems - Lecture Notes in Computer Science
◽
10.1007/978-3-030-14174-5_16
◽
2019
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pp. 233-248
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Author(s):
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Georgios Chalkiadakis
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Reinforcement Learning based Strategy Selection in StarCraft
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◽
10.1145/3407703.3407726
◽
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◽
Author(s):
Taidong Zhang
◽
Xianze Li
◽
Xudong Li
◽
Guanghui Liu
◽
Miao Tian
Keyword(s):
Reinforcement Learning
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Strategy Selection
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Pareto Optimal Solutions for Network Defense Strategy Selection Simulator in Multi-Objective Reinforcement Learning
Applied Sciences
◽
10.3390/app8010136
◽
2018
◽
Vol 8
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◽
pp. 136
◽
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Author(s):
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Yun Li
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◽
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Keyword(s):
Reinforcement Learning
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Pareto Optimal
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Pareto Optimal Solutions
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Optimal Solutions
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Defense Strategy
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Multi Objective
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Network Defense
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Reinforcement Learning in Strategy Selection for a Coordinated Multirobot System
IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans
◽
10.1109/tsmca.2007.904823
◽
2007
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Vol 37
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pp. 1151-1157
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Cited By ~ 17
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