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URNAI: A Multi-Game Toolkit for Experimenting Deep Reinforc..:
, In:
2020 19th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames)
,
Araujo, Marco A. S.
;
Alves, Luiz P. C.
;
Madeira, Charles A. G.
. - p. 178-187 , 2020
Link:
https://doi.org/10.1109/SBGames51465.2020.00032
RT T1 <cTitle>2020 19th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames)</cTitle>: T1 <Title>URNAI: A Multi-Game Toolkit for Experimenting Deep Reinforcement Learning Algorithms</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9291647&Exemplar=1&LAN=DE A1 Araujo, Marco A. S. A1 Alves, Luiz P. C. A1 Madeira, Charles A. G. A1 Nobrega, Marcos M. YR 2020 SN 2159-6662 K1 Games K1 Libraries K1 Training K1 Artificial intelligence K1 Training data K1 Reinforcement learning K1 Computer architecture K1 game environment K1 toolkit K1 deep reinforcement learning K1 experimentation setup SP 178 OP 187 LK http://dx.doi.org/https://doi.org/10.1109/SBGames51465.2020.00032 DO https://doi.org/10.1109/SBGames51465.2020.00032 SF ELIB - SuUB Bremen
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