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논문검색

강화된 몬테카를로 알고리즘을 활용한 강력한 삼목게임기 구현

원문정보

Implementation of robust Tic-Tac-Toe game player, using enhanced Monte-Carlo algorithm

이병두

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초록

영어

Go is an extremely complex strategic board game despite its simple rules. Recently computer Go based on MCTS plays at human-master level and also has defeated top professional players with handicap games in 19×19 Go. Before implementing computer Go, in this paper we show weakness of pure MC algorithm for playing robust Tic-Tac-Toe game and present alternative method to make up the weakness. Furthermore we show how UCB algorithm works for balancing exploration and exploitation in game tree and discuss the need of a hybrid algorithm combined with UCB and strategy based MCTS, for implementing an enhanced computer Go.

목차

ABSTRACT
 1. 서론
 2. 관련연구
 3. 본론
  3.1 몬테카를로 트리탐색
  3.2 수학적 승률과 통계학적 승률
  3.3 탐험과 활용의 딜레마
 4. 결론 및 제언
  4.1 결론
  4.2 제언
 감사의 글
 참고문헌

저자정보

  • 이병두 Byung-Doo Lee. Department of Baduk Studies, Division of Sports Science, Sehan University #1113, Noksaek-ro, Samho-eup, Yeoungam-gun, Jeonnam 526-702, Korea

참고문헌

자료제공 : 네이버학술정보

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