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A Study on the Intelligent Game based on Reinforcement Learning

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2006, 11(4), pp.17-26
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Woo Chong Woo 1 Donghun Lee 1

1국민대학교

Candidate

ABSTRACT

An intelligent game has been studied for some time, and the main purpose of the study was to win against human by enhancing game skills. But some commercial games rather focused on adaptation of the user's behavior in order to bring interests on the games. In this study, we are suggesting an adaptive reinforcement learning algorithm, which focuses on the adaptation of user behavior. We have designed and developed the Othello game, which provides large state spaces. The evaluation of the experiment was done by playing two reinforcement learning algorithms against Min-Max algorithm individually. And the results show that our approach is playing more improved learning rate, than the previous reinforcement learning algorithm.

Citation status

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