MCS 2020 : Monte Carlo Search 2020, IJCAI Workshop
Call For Papers
Monte Carlo Search 2020, IJCAI Workshop, Japan, January 2021
In conjunction with IJCAI 2020
The proceedings will be published with Springer in their Communications in Computer and Information Science series CCIS.
Monte Carlo Search is a family of general search algorithms that have many applications in different domains.
It is the state of the art in perfect and imperfect information games.
Other applications include the RNA inverse folding problem, Logistics, Multiple Sequence Alignment, General Game Playing, Puzzles, 3D Packing with Object Orientation, Cooperative Pathfinding, Software testing and heuristic Model-Checking.
In recent years, many researchers have explored different variants of the algorithms, their relations to Deep Reinforcement Learning and their different applications.
The purpose of this workshop is to bring these researchers together to present their research, discuss future research directions, and cross-fertilize the different communities.
Researchers and practitioners whose research might benefit from Monte Carlo Search in their research are welcome.
Monte Carlo Tree Search, and then Zero learning vastly improved Monte Carlo search in a wide range of applications; classic Monte Carlo search still dominates many partially observable problems.
Submissions are welcome in all fields related to Monte Carlo Search, including:
Monte Carlo Tree Search and Upper Confidence Trees;
Nested Monte Carlo;
Non-locality in Monte Carlo search;
Combination with Zero learning;
Monte Carlo Belief-state estimation;
Self-Adaptive Monte Carlo Search;
Monte Carlo in many player games.
Applications in games;
Applications in puzzles;
Papers are written in English using LNCS style.
Submission Deadline: September 1st, 2020
Acceptance Notification: September 21st, 2020
Final Papers: January 4, 2021
MCS 2020: January, 2021
You can submit your papers using Easychair:
Tristan Cazenave, Universite Paris-Dauphine, PSL
Olivier Teytaud, Facebook FAIR
Mark Winands, Maastricht University
Yngvi Bjornsson Reykjavik University
Bruno Bouzy Nukkai
Cameron Browne Maastricht University
Tristan Cazenave University Paris-Dauphine
Stefan Edelkamp King's College London
Raluca Gaina Queen Mary University of London
Aurelien Garivier ENS Lyon
Reijer Grimbergen Tokyo University of Technology
Nicolas Jouandeau University Paris 8
Emilie Kaufmann CNRS
Jakub Kowalski University of Wroclaw
Marc Lanctot Google DeepMind
Jialin Liu Southern University of Science and Technology
Martin Mueller University of Alberta
Andrzej Nagorko University of Warsaw
Santiago Ontanon Drexel University
Diego Perez-Liebana Queen Mary University of London
Mike Preuss Leiden University
Thomas Runarsson University of Iceland
Spyridon Samothrakis University of Essex
Chiara Sironi Maastricht University
Fabien Teytaud Universite Littoral Cote d'Opale
Olivier Teytaud Facebook FAIR
Ruck Thawonmas Ritsumeikan University
Jean-Noel Vittaut Sorbonne University
Mark Winands Maastricht University
I-Chen Wu National Chiao Tung University