AAAI Conference 2014 Conference Paper
Monte-Carlo Simulation Adjusting
- Nobuo Araki
- Masakazu Muramatsu
- Hoki Kunihito
- Satoshi Takahashi
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.