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Book Sections Year : 2020

Artificial Intelligence for Games

Abstract

This chapter presents the classical alpha-beta algorithm and several variants, Monte Carlo Tree Search which is at the origin of recent progresses in many games, techniques used in video games and puzzles, and retrograde analysis which performs perfect play in endgames.
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Dates and versions

hal-03118174 , version 1 (21-01-2021)

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Bruno Bouzy, Tristan Cazenave, Vincent Corruble, Olivier Teytaud. Artificial Intelligence for Games. A Guided Tour of Artificial Intelligence Research : Volume II: AI Algorithms, Springer, pp.313-337, 2020, ⟨10.1007/978-3-030-06167-8_11⟩. ⟨hal-03118174⟩
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