Applying Monte Carlo Tree Search for Tactical Decision-making in StarCraft
碩士 === 國立交通大學 === 多媒體工程研究所 === 104 === In this thesis, we apply Monte Carlo tree search for tactical decision-making in StarCraft, which is about controlling units to combat with opponent’s units in real-time strategy games. MCTS can use less expert knowledge to achieve high performance and adaptive...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2016
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Online Access: | http://ndltd.ncl.edu.tw/handle/c22858 |