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1 Ergebnisse
1
A phased game algorithm combining deep reinforcement learni..:
, In:
2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC)
,
Li, Xiali
;
Chen, Yandong
;
Zhang, Yanyin
.. - p. 390-395 , 2023
Link:
https://doi.org/10.1109/COMPSAC57700.2023.00059
RT T1 <cTitle>2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC)</cTitle>: T1 <Title>A phased game algorithm combining deep reinforcement learning and UCT for Tibetan Jiu chess</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10196898&Exemplar=1&LAN=DE A1 Li, Xiali A1 Chen, Yandong A1 Zhang, Yanyin A1 Liu, Bo A1 Wu, Licheng YR 2023 K1 Deep learning K1 Monte Carlo methods K1 Layout K1 Software algorithms K1 Neural networks K1 Games K1 Reinforcement learning K1 Tibetan Jiu chess K1 UCT search algorithm K1 Phased game algorithm K1 Gaussian distribution K1 Fast online estimation K1 Deep Reinforcement learning K1 Residual network K1 Self-play SP 390 OP 395 LK http://dx.doi.org/https://doi.org/10.1109/COMPSAC57700.2023.00059 DO https://doi.org/10.1109/COMPSAC57700.2023.00059 SF ELIB - SuUB Bremen
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