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...

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Bibliographic Details
Main Authors: Chiang, Cheng-Han, 蔣承翰
Other Authors: Sun, Chuen-Tsai
Format: Others
Language:zh-TW
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/c22858