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Home / Proceedings / Proceedings of the International Conference on Automated Planning and Scheduling, 31 / Book One

Improving AlphaZero Using Monte-Carlo Graph Search

February 1, 2023

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Authors

Johannes Czech

TU Darmstadt


Patrick Korus

TU Darmstadt


Kristian Kersting

TU Darmstadt Hessian Center for Artificial Intelligence


DOI:

10.1609/icaps.v31i1.15952


Abstract:

The AlphaZero algorithm has been successfully applied in a range of discrete domains, most notably board games. It utilizes a neural network that learns a value and policy function to guide the exploration in a Monte-Carlo Tree Search. Although many search improvements such as graph search have been proposed for Monte-Carlo Tree Search in the past, most of them refer to an older variant of the Upper Confidence bounds for Trees algorithm that does not use a policy for planning. We improve the search algorithm for AlphaZero by generalizing the search tree to a directed acyclic graph. This enables information flow across different subtrees and greatly reduces memory consumption. Along with Monte-Carlo Graph Search, we propose a number of further extensions, such as the inclusion of Epsilon-Greedy exploration, a revised terminal solver and the integration of domain knowledge as constraints. In our empirical evaluations, we use the CrazyAra engine on chess and crazyhouse as examples to show that these changes bring significant improvements to AlphaZero.

Topics: ICAPS

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HOW TO CITE:

Johannes Czech||Patrick Korus||Kristian Kersting Improving AlphaZero Using Monte-Carlo Graph Search Proceedings of the International Conference on Automated Planning and Scheduling, 31 (2021) 103-111.

Johannes Czech||Patrick Korus||Kristian Kersting Improving AlphaZero Using Monte-Carlo Graph Search ICAPS 2021, 103-111.

Johannes Czech||Patrick Korus||Kristian Kersting (2021). Improving AlphaZero Using Monte-Carlo Graph Search. Proceedings of the International Conference on Automated Planning and Scheduling, 31, 103-111.

Johannes Czech||Patrick Korus||Kristian Kersting. Improving AlphaZero Using Monte-Carlo Graph Search. Proceedings of the International Conference on Automated Planning and Scheduling, 31 2021 p.103-111.

Johannes Czech||Patrick Korus||Kristian Kersting. 2021. Improving AlphaZero Using Monte-Carlo Graph Search. "Proceedings of the International Conference on Automated Planning and Scheduling, 31". 103-111.

Johannes Czech||Patrick Korus||Kristian Kersting. (2021) "Improving AlphaZero Using Monte-Carlo Graph Search", Proceedings of the International Conference on Automated Planning and Scheduling, 31, p.103-111

Johannes Czech||Patrick Korus||Kristian Kersting, "Improving AlphaZero Using Monte-Carlo Graph Search", ICAPS, p.103-111, 2021.

Johannes Czech||Patrick Korus||Kristian Kersting. "Improving AlphaZero Using Monte-Carlo Graph Search". Proceedings of the International Conference on Automated Planning and Scheduling, 31, 2021, p.103-111.

Johannes Czech||Patrick Korus||Kristian Kersting. "Improving AlphaZero Using Monte-Carlo Graph Search". Proceedings of the International Conference on Automated Planning and Scheduling, 31, (2021): 103-111.

Johannes Czech||Patrick Korus||Kristian Kersting. Improving AlphaZero Using Monte-Carlo Graph Search. ICAPS[Internet]. 2021[cited 2023]; 103-111.


ISSN: 2334-0843


Published by AAAI Press, Palo Alto, California USA
Copyright 2022, Association for the Advancement of
Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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