Monte Carlo Search : first workshop, MCS 2020, held in conjunction with IJCAI 2020, virtual event, January 7, 2021, Proceedings / Tristan Cazenave, Olivier Teytaud, Mark H.M. Winands (eds.).
2021
QA298
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Details
Title
Monte Carlo Search : first workshop, MCS 2020, held in conjunction with IJCAI 2020, virtual event, January 7, 2021, Proceedings / Tristan Cazenave, Olivier Teytaud, Mark H.M. Winands (eds.).
Meeting Name
MCS (Workshop : Monte Carlo) (1st : 2020 : Online)
ISBN
9783030894535 (electronic bk.)
3030894533 (electronic bk.)
9783030894528
3030894533 (electronic bk.)
9783030894528
Published
Cham, Switzerland : Springer, 2021.
Language
English
Description
1 online resource (ix, 141 pages) : illustrations (some color)
Item Number
10.1007/978-3-030-89453-5 doi
Call Number
QA298
Dewey Decimal Classification
518/.282
Summary
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.
Note
Includes author index.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed October 19, 2021).
Added Meeting Name
International Joint Conference on Artificial Intelligence (29th : 2020 : Online), jointly held conference.
Series
Communications in computer and information science ; 1379. 1865-0937
Available in Other Form
Print version: 9783030894528
Print version: 9783030894542
Print version: 9783030894542
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Online Access
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Table of Contents
The 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.
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.