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Monte Carlo Search: First Workshop, MCS 2020, Held in Conjunction with IJCAI 2020

Cazenave, Tristan; Teytaud, Olivier; Winands, Mark (2021), Monte Carlo Search: First Workshop, MCS 2020, Held in Conjunction with IJCAI 2020, Springer : Berlin Heidelberg. 10.1007/978-3-030-89453-5

Type
Ouvrage
Date
2021
Publisher
Springer
Published in
Berlin Heidelberg
ISBN
978-3-030-89452-8
Publication identifier
Metadata
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Author(s)
Cazenave, Tristan
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Teytaud, Olivier
Facebook AI Research [Paris] [FAIR]
Winands, Mark
Maastricht University [Maastricht, Pays-Bas]
Abstract (EN)
This book constitutes the refereed proceedings of the First Workshop on Monte Carlo Search, MCS 2020, organized in conjunction with IJCAI 2020. The event was supposed to take place in Yokohama, Japan, in July 2020, but due to the Covid-19 pandemic was held virtually on January 7, 2021. The 9 full papers of the specialized project were carefully reviewed and selected from 15 submissions. The following topics are covered in the contributions: discrete mathematics in computer science, games, optimization, search algorithms, Monte Carlo methods, neural networks, reinforcement learning, machine learning.
Subjects / Keywords
Adaptive algorithms; Artificial intelligence; Computer games; Computer science; Computer systems; Computer vision; Correlation analysis; Engineering; Evolutionary algorithms; Game design; Game theory; Gameplay; Genetic algorithms; Human-Computer Interaction (HCI); Interactive computer graphics; Internet; Mathematics; Optimization; Signal processing; User interfaces