Monte-Carlo Simulation Adjusting

نویسندگان

  • Nobuo Araki
  • Masakazu Muramatsu
  • Kunihito Hoki
  • Satoshi Takahashi
چکیده

In this paper, we propose a new learning method simulation adjusting that adjusts simulation policy to improve the move decisions of the Monte Carlo method. We demonstrated simulation adjusting for 4 × 4 board Go problems. We observed that the rate of correct answers moderately increased.

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تاریخ انتشار 2014