Stabilized Nested Rollout Policy Adaptation

Cazenave, Tristan; Sevestre, Jean-Baptiste; Toulemont, Matthieu

Cazenave, Tristan; Sevestre, Jean-Baptiste; Toulemont, Matthieu (2020), Stabilized Nested Rollout Policy Adaptation, Monte Carlo Search 2020, IJCAI Workshop, 2020-01, Yokohama (virtual), JAPAN

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Type

Communication / Conférence

External document link

https://hal.archives-ouvertes.fr/hal-03118168

Date

2020

Conference title

Monte Carlo Search 2020, IJCAI Workshop

Conference date

2020-01

Conference city

Yokohama (virtual)

Conference country

JAPAN

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Author(s)

Cazenave, Tristan
Sevestre, Jean-Baptiste
Toulemont, Matthieu

Abstract (EN)

Nested Rollout Policy Adaptation (NRPA) is a Monte Carlo search algorithm for single player games. In this paper we propose to modify NRPA in order to improve the stability of the algorithm. Experiments show it improves the algorithm for different application domains: SameGame, Traveling Salesman with Time Windows and Expression Discovery.