Monte-Carlo Simulation Adjusting

Authors

  • Nobuo Araki The University of Electro-Communications
  • Masakazu Muramatsu The University of Electro-Communications
  • Hoki Kunihito The University of Electro-Communications
  • Satoshi Takahashi The University of Electro-Communications

DOI:

https://doi.org/10.1609/aaai.v28i1.9084

Keywords:

Monte-Carlo, Go, Balancing, Adjusting

Abstract

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.

AAAI 2014 Proceedings Cover

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Published

2014-06-21

How to Cite

Araki, N., Muramatsu, M., Kunihito, H., & Takahashi, S. (2014). Monte-Carlo Simulation Adjusting. Proceedings of the AAAI Conference on Artificial Intelligence, 28(1). https://doi.org/10.1609/aaai.v28i1.9084

Issue

Vol. 28 No. 1 (2014): Twenty-Eighth AAAI Conference on Artificial Intelligence

Section

Student Abstract Track