Improving Monte Carlo Tree Search with Artificial Neural Networks without Heuristics

Improving Monte Carlo Tree Search with Artificial Neural Networks without Heuristics

Monte Carlo Tree Search is one of the main search methods studied presently. It has demonstrated its efficiency in the resolution of many games such as Go or Settlers of Catan and other different problems. There are several optimizations of Monte Carlo, but most of them need heuristics or some domai...

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Bibliographic Details
Main Authors: Alba Cotarelo, Vicente García-Díaz, Edward Rolando Núñez-Valdez, Cristian González García, Alberto Gómez, Jerry Chun-Wei Lin
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Applied Sciences
Subjects:
Monte Carlo Tree Search
neural networks
generalized implementation
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Online Access:https://www.mdpi.com/2076-3417/11/5/2056

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