碩士 / 國立交通大學 / 資訊科學與工程研究所 / 104 / Computer game have never been absent in Information technology industry. In so many type of game, the real-time strategy(RTS) game has always been the focus of gaming competitions and StarCraft can be regarded as a masterpiece of real-time strategy game. Unfortunately, most of the real-time strategy game AI can't achieve the same level of player. In order to make RTS game better, we attempt to develop a mechanism which is able to optimize action selection in StarCraft. Because we hope this study become the cornerstone of a great StarCraft AI, we listed some future research directions at the end of this paper.
| Identifer | oai:union.ndltd.org:TW/104NCTU5394066 |
| Date | January 2016 |
| Creators | Hsu, Wei-Lun, 許維倫 |
| Contributors | Chen, Ying-Ping, 陳穎平 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 30 |
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