TY  - GEN
N2  - 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.
DO  - 10.1007/978-3-030-89453-5
DO  - doi
AB  - 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.
T1  - Monte Carlo Search :first workshop, MCS 2020, held in conjunction with IJCAI 2020, virtual event, January 7, 2021, Proceedings /
AU  - Cazenave, Tristan,
AU  - Teytaud, Olivier,
AU  - Winands, Mark H. M.,
VL  - 1379
CN  - QA298
N1  - Includes author index.
ID  - 1440396
KW  - Monte Carlo method
KW  - Méthode de Monte-Carlo
SN  - 9783030894535
SN  - 3030894533
TI  - Monte Carlo Search :first workshop, MCS 2020, held in conjunction with IJCAI 2020, virtual event, January 7, 2021, Proceedings /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-89453-5
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-89453-5
ER  -