Zobrazeno 1 - 10
of 207
pro vyhledávání: '"Game tree search"'
Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 3, Pp 3301-3312 (2022)
Abstract Policy decision of curling refers to providing strategy suggestions for curling competition with the help of computers. Existing curling agents have achieved good results in the digital scenarios, but cannot make correct decisions when appli
Externí odkaz:
https://doaj.org/article/ffceec60105b48d4a901a7b0c988917d
Akademický článek
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Publikováno v:
International Journal of Machine Learning and Cybernetics. 12:1083-1095
This study proposes a novel best-first search algorithm, called Valuation Increment Search Algorithm (VIS), which applies the increment of exploratory value change to predict the valuation and guide the selection of the game tree. The proposed method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd39fa01505e256fc4b354dfc2fb22f9
https://doi.org/10.1007/s13042-020-01222-3
https://doi.org/10.1007/s13042-020-01222-3
Autor:
Tomoyuki Kaneko, Taichi Nakayashiki
Publikováno v:
TAAI
AlphaZero achieved superhuman performance in Go, chess, and shogi, supported by massive computational re-sources. This paper investigates policy learning in AlphaZero, aiming at improving its learning efficiency. AlphaZero trains policy and value net
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ce49de5f60a6d5b01c59bb0a8d36cdf
https://doi.org/10.1109/taai51410.2020.00044
https://doi.org/10.1109/taai51410.2020.00044
Publikováno v:
2020 IEEE International Conference on Mechatronics and Automation (ICMA).
The real-time strategy (RTS) game has become a suitable testbed for artificial intelligence (AI) technologies owing to the large state space, limited decision times, partial observation environment and adversarial behavior involved. To address these
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::512325182775f87c801348b0f7d43370
https://doi.org/10.1109/icma49215.2020.9233614
https://doi.org/10.1109/icma49215.2020.9233614
Autor:
Hartisch, Michael
Das in der Mitte des letzten Jahrhunderts etablierte Forschungsgebiet der Optimierung unter Unsicherheit hat in den letzten beiden Jahrzehnten viel Aufmerksamkeit erhalten. Der Umgang mit unsicheren Daten in Optimierungsproblemen bleibt aber trotz (o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e86b60ce5787f3e984aafdbc962e7653
Publikováno v:
Computational Intelligence. 34:542-561
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d42720b818d2a15ee3976bb3dcc8f16
https://doi.org/10.1111/coin.12162
https://doi.org/10.1111/coin.12162
Kniha
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Publikováno v:
2019 International Conference on Theoretical and Applicative Aspects of Computer Science (ICTAACS).
Online planning is an important research area focusing on the problem of real-time decision making, using information extracted from the environment. The aim is to compute, at each decision point, the best decision possible that contributes to the re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f28ecbbae3945f22402abcfec3e8b18
https://doi.org/10.1109/ictaacs48474.2019.8988124
https://doi.org/10.1109/ictaacs48474.2019.8988124
Publikováno v:
Game AI Pro 360
Game AI Pro 3 ISBN: 9781315151700
Game AI Pro 3 ISBN: 9781315151700
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e113213b1b32a91ebd7d285558fc085e
https://doi.org/10.1201/9780429055058-27
https://doi.org/10.1201/9780429055058-27