Playout policy adaptation with move features

DOI10.1016/J.TCS.2016.06.024zbMath1370.68259OpenAlexW2466732996MaRDI QIDQ307774

Tristan Cazenave

Publication date: 5 September 2016

Published in: Theoretical Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.tcs.2016.06.024

zbMATH Keywords

machine learningMonte Carlo tree searchcomputer gamesplayout policy

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20) Combinatorial games (91A46)

Uses Software

• MoHex

Cites Work

• MoHex 2.0: A Pattern-Based MCTS Hex Player
• Biasing Monte-Carlo Simulations through RAVE Values
• Monte-Carlo Simulation Balancing in Practice

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