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Combining Monte-Carlo Tree Search with Proof-Number Search

2022-06-08 15:28:42
Elliot Doe, Mark H. M. Winands, Dennis J. N. J. Soemers, Cameron Browne
arXiv_AI
     
Abstract

Proof-Number Search (PNS) and Monte-Carlo Tree Search (MCTS) have been successfully applied for decision making in a range of games. This paper proposes a new approach called PN-MCTS that combines these two tree-search methods by incorporating the concept of proof and disproof numbers into the UCT formula of MCTS. Experimental results demonstrate that PN-MCTS outperforms basic MCTS in several games including Lines of Action, MiniShogi, Knightthrough, and Awari, achieving win rates up to 94.0%.

Abstract (translated)

URL

https://arxiv.org/abs/2206.03965

PDF

https://arxiv.org/pdf/2206.03965.pdf

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