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1 Ergebnisse
1
Image_1_Reinforcement Learning Model With Dynamic State Spa..:
Kazuhiro Sakamoto
;
Hinata Yamada
;
Norihiko Kawaguchi
...
doi:10.3389/fncom.2022.784604.s001. , 2022
Link:
https://doi.org/10.3389/fncom.2022.784604.s001
RT Journal T1
Image_1_Reinforcement Learning Model With Dynamic State Space Tested on Target Search Tasks for Monkeys: Extension to Learning Task Events.TIFF
UL https://suche.suub.uni-bremen.de/peid=base-ftfrontimediafig:oai:figshare.com:article_19956965&Exemplar=1&LAN=DE A1 Kazuhiro Sakamoto A1 Hinata Yamada A1 Norihiko Kawaguchi A1 Yoshito Furusawa A1 Naohiro Saito A1 Hajime Mushiake YR 2022 K1 Neuroscience K1 Computer Engineering K1 Theoretical Computer Science K1 Applied Computer Science K1 Computational Biology K1 Computer Software K1 Central Nervous System K1 Computer Perception K1 Memory and Attention K1 Signal Processing K1 Image Processing K1 Coding and Information Theory K1 reinforcement learning K1 target search task K1 dynamic state space K1 episode-dependent learning K1 history-in-episode architecture JF doi:10.3389/fncom.2022.784604.s001 LK http://dx.doi.org/https://doi.org/10.3389/fncom.2022.784604.s001 DO https://doi.org/10.3389/fncom.2022.784604.s001 SF ELIB - SuUB Bremen
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