Faculty Advisor
Sarkozy, Gabor N
Center
Budapest, Hungary
Sponsor
Computer and Automation Research Institute in Buda
Abstract
Since its introduction in 2006, Monte-Carlo Tree Search has been a major breakthrough in computer Go. Performance of an MCTS engine is highly dependent on the quality of its simulations, though despite this, simulations remain one of the most poorly understand aspects of MCTS. In this paper, we explore in-depth the simulations policy of Pachi, an open-source computer Go agent. This research attempts to better understand how simulation policies affect the overall performance of MCTS, building on prior work in the field by doing so. Through this research we develop a deeper understanding of the underlying components in Pachi's simulation policy, which are common to many modern MCTS Go engines, and evaluate the metrics used to measure them.
Publisher
Worcester Polytechnic Institute
Date Accepted
April 2014
Major
Computer Science
Major
Physics
Project Type
Major Qualifying Project
Copyright Statement
All authors have granted to WPI a nonexclusive royalty-free license to distribute copies of the work, subject to other agreements. Copyright is held by the author or authors, with all rights reserved, unless otherwise noted.
Accessibility
Unrestricted
Advisor Department
Computer Science
Advisor Program
Computer Science
Project Center
Budapest, Hungary