The asymmetric learning rates of murine exploratory behavior in sparse reward environments

Goal-oriented behaviors of animals can be modeled by reinforcement learning algorithms. Such algorithms predict future outcomes of selected actions utilizing action values and updating those values in response to the positive and negative outcomes. In many models of animal behavior, the action value...

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Veröffentlicht in:	Neural networks 2021-11, Vol.143, p.218-229
Hauptverfasser:	Ohta, Hiroyuki, Satori, Kuniaki, Takarada, Yu, Arake, Masashi, Ishizuka, Toshiaki, Morimoto, Yuji, Takahashi, Tatsuji
Format:	Artikel
Sprache:	eng
Schlagworte:	Behavior Dual learning rate Exploration Multi-armed bandit problem Reinforcement learning
Online-Zugang:	Volltext
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