Zobrazeno 1 - 10
of 96
pro vyhledávání: '"Mark H. M. Winands"'
Autor:
Jaap van den Herik, Mark H. M. Winands
Publikováno v:
ICGA Journal, 43(2), 114-117. IOS Press
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b40f35e47fecd8a97690b45786b90e23
https://www.medra.org/servlet/aliasResolver?alias=iospress&doi=10.3233/ICG-210190
https://www.medra.org/servlet/aliasResolver?alias=iospress&doi=10.3233/ICG-210190
Autor:
Mark H. M. Winands, Chiara F. Sironi
Publikováno v:
Journal of Artificial Intelligence Research, 72, 717-757. AI Access Foundation
Monte-Carlo Tree Search (MCTS) has been applied successfully in many domains, including games. However, its performance is not uniform on all domains, and it also depends on how parameters that control the search are set. Parameter values that are op
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34d117a43361d82a6df15536ed6ed5ec
https://doi.org/10.1613/jair.1.12065
https://doi.org/10.1613/jair.1.12065
Publikováno v:
Monte Carlo Search: MCS 2020, 116-139
STARTPAGE=116;ENDPAGE=139;TITLE=Monte Carlo Search
Communications in Computer and Information Science ISBN: 9783030894528
STARTPAGE=116;ENDPAGE=139;TITLE=Monte Carlo Search
Communications in Computer and Information Science ISBN: 9783030894528
Playout policy adaptation (ppa) is a state-of-the-art strategy that has been proposed to control the playouts in monte-carlo tree search (mcts). Ppa has been successfully applied to many two-player, sequential-move games. This paper further evaluates
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b24e7e2680dc991fd0a7023ff4b64714
https://doi.org/10.1007/978-3-030-89453-5_9
https://doi.org/10.1007/978-3-030-89453-5_9
Publikováno v:
Engineering with Computers, 38(4). Springer
Engineering with computers 38(4), 3219-3236 (2022). doi:10.1007/s00366-021-01338-2
Engineering with computers 38(4), 3219-3236 (2022). doi:10.1007/s00366-021-01338-2
Engineering with computers (2021). doi:10.1007/s00366-021-01338-2
Published by Springer, London
Published by Springer, London
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59c103bdc138a444729585842a589a20
https://doi.org/10.1007/s00366-021-01338-2
https://doi.org/10.1007/s00366-021-01338-2
Autor:
Chiara F. Sironi, Mark H. M. Winands
Publikováno v:
2021 IEEE Conference on Games (CoG), 1051-1058
STARTPAGE=1051;ENDPAGE=1058;TITLE=2021 IEEE Conference on Games (CoG)
STARTPAGE=1051;ENDPAGE=1058;TITLE=2021 IEEE Conference on Games (CoG)
The research field of Artificial General Intelligence (AGI) is concerned with the creation of adaptive programs that can autonomously address tasks of a different nature. Search and planning have been identified as core capabilities of AGI, and have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1839d1cc5425d6b65985b037250858fc
https://cris.maastrichtuniversity.nl/en/publications/d5b47367-c519-403a-8695-36cac866df09
https://cris.maastrichtuniversity.nl/en/publications/d5b47367-c519-403a-8695-36cac866df09
Autor:
Mark H. M. Winands, Chiara F. Sironi
Publikováno v:
2019 IEEE Conference on Games (CoG), 1-8
STARTPAGE=1;ENDPAGE=8;TITLE=2019 IEEE Conference on Games (CoG)
CoG
STARTPAGE=1;ENDPAGE=8;TITLE=2019 IEEE Conference on Games (CoG)
CoG
Monte-Carlo Tree Search (MCTS) has been applied successfully in many domains. Previous research has shown that adding randomization to certain components of MCTS might increase the diversification of the search and improve the performance. In a domai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::001b6ba77c3144d63e65efa8b23a80ac
https://ieeexplore.ieee.org/document/8848056/
https://ieeexplore.ieee.org/document/8848056/
Publikováno v:
CoG
2020 IEEE Conference on Games (CoG), 367-374
STARTPAGE=367;ENDPAGE=374;TITLE=2020 IEEE Conference on Games (CoG)
2020 IEEE Conference on Games (CoG), 367-374
STARTPAGE=367;ENDPAGE=374;TITLE=2020 IEEE Conference on Games (CoG)
For general video game playing agents, the biggest challenge is adapting to the wide variety of situations they encounter and responding appropriately. Some success was recently achieved by modifying search-control parameters in agents on-line, durin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e992cafdaa77163b92c40bcc41f65652
https://doi.org/10.1109/CoG47356.2020.9231587
https://doi.org/10.1109/CoG47356.2020.9231587
Publikováno v:
IEEE Transactions on Games, 12(2), 132-144. IEEE
Many enhancements for Monte Carlo tree search (MCTS) have been applied successfully in general game playing (GGP). MCTS and its enhancements are controlled by multiple parameters that require extensive and time-consuming offline optimization. Moreove
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3b51f783399bdad0160ccfa190b7207
https://cris.maastrichtuniversity.nl/en/publications/dc999e7f-896a-4e4d-bfa6-346ecc8db2fa
https://cris.maastrichtuniversity.nl/en/publications/dc999e7f-896a-4e4d-bfa6-346ecc8db2fa
Autor:
Mark H. M. Winands
Publikováno v:
ICGA Journal, 42(1), 1-1. IOS Press
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::780fb15a7d66159cac2155f9cb6c3c2c
https://cris.maastrichtuniversity.nl/en/publications/4045e251-c38d-4edc-be6b-44d65d7a0d4d
https://cris.maastrichtuniversity.nl/en/publications/4045e251-c38d-4edc-be6b-44d65d7a0d4d
Autor:
Mark H. M. Winands
Publikováno v:
ICGA Journal, 42(4), 243-243. IOS Press
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9900fb1cd09772c344749f513aa719c6
https://cris.maastrichtuniversity.nl/en/publications/0a7cabee-5587-435a-afe4-697539c5aba5
https://cris.maastrichtuniversity.nl/en/publications/0a7cabee-5587-435a-afe4-697539c5aba5