Monte Carlo Search, 1st ed. 2021 First Workshop, MCS 2020, Held in Conjunction with IJCAI 2020, Virtual Event, January 7, 2021, Proceedings Communications in Computer and Information Science Series, Vol. 1379
Langue : Anglais
Coordonnateurs : Cazenave Tristan, Teytaud Olivier, Winands Mark H. M.
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.
The αµ Search Algorithm for the Game of Bridge.- Stabilized Nested Rollout Policy Adaptation.- zoNNscan: A Boundary-Entropy Index for Zone Inspection of Neural Models.- Ordinal Monte Carlo Tree Search.- Monte Carlo Game Solver.- Generalized Nested Rollout Policy Adaptation.- Monte Carlo Inverse Folding.- Monte Carlo Graph Coloring.- Enhancing Playout Policy Adaptation for General Game Playing.
Date de parution : 10-2021
Ouvrage de 141 p.
15.5x23.5 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 68,56 €
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Mots-clés :
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
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