Monte-Carlo Simulation Adjusting
Araki, Nobuo (The University of Electro-Communications) | Muramatsu, Masakazu (The University of Electro-Communications) | Kunihito, Hoki (The University of Electro-Communications) | Takahashi, Satoshi (The University of Electro-Communications)
In this paper, we propose a new learning method sim- ulation adjusting that adjusts simulation policy to im- prove 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 an- swers moderately increased.
Jul-14-2014