The Programming Game: Evaluating MCTS as an Alternative to GP for Symbolic Regression

White, D. R., Yoo, S. and Singer, J. (2015) The Programming Game: Evaluating MCTS as an Alternative to GP for Symbolic Regression. In: GECCO 2015, Madrid, Spain, 11-15 July 2015, pp. 1521-1522. (doi:10.1145/2739482.2764655)

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Abstract

We develop previous work by Cazenave, applying Monte Carlo Tree Search (MCTS) to programming. We compare MCTS to Genetic Programming (GP) and find that MCTS is competitive with GP for standard benchmarks

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:White, Dr David and Singer, Dr Jeremy
Authors: White, D. R., Yoo, S., and Singer, J.
College/School:College of Science and Engineering > School of Computing Science
Copyright Holders:Copyright © 2015 ACM
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher.
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