F-013 オリジナルゲームの強化学習型CPU(ゲーム情報学,F分野:人工知能・ゲーム)

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概要

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• In this research, I make an original game and propose a reinforcement learning based CPU for a player in the original game. The Monte Carlo method was used as a structure of the reinforcement learning and a filtering mechanism was applied to solve huge state space. The reinforcement learning based CPU player fights against a rule base CPU player in the original game. As a result of 2,000 times of play, the winning rate of the reinforcement learning based CPU reached an average of 59%.

• 2012-09-04

著者

• 中村 杏

  法政大学情報科学研究科情報科学専攻

関連論文

• F-013 オリジナルゲームの強化学習型CPU(ゲーム情報学,F分野:人工知能・ゲーム)

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