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Fast Evolutionary Adaptation for Monte Carlo Tree Search

Lucas, Simon M and Samothrakis, Spyridon and Pérez, Diego (2014) Fast Evolutionary Adaptation for Monte Carlo Tree Search. In: UNSPECIFIED, ? - ?.

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Abstract

This paper describes a new adaptive Monte Carlo Tree Search (MCTS) algorithm that uses evolution to rapidly optimise its performance. An evolutionary algorithm is used as a source of control parameters to modify the behaviour of each iteration (i.e. each simulation or roll-out) of the MCTS algorithm; in this paper we largely restrict this to modifying the behaviour of the random default policy, though it can also be applied to modify the tree policy.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health
Faculty of Science and Health > Computer Science and Electronic Engineering, School of
SWORD Depositor: Elements
Depositing User: Elements
Date Deposited: 04 Dec 2014 13:31
Last Modified: 15 Jan 2022 00:31
URI: http://repository.essex.ac.uk/id/eprint/11981

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