A nonlinear hidden layer enables actor-critic agents to learn multiple paired association navigation

Navigation to multiple cued reward locations has been increasingly used to study rodent learning. Though deep reinforcement learning agents have been shown to be able to learn the task, they are not biologically plausible. Biologically plausible classic actor-critic agents have been shown to learn t...

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Bibliographic Details
Published in:arXiv.org
Main Authors: M Ganesh Kumar, Tan, Cheston, Libedinsky, Camilo, Shih-Cheng, Yen, Andrew Yong-Yi Tan
Format: Paper
Language:English
Published: Ithaca Cornell University Library, arXiv.org 16.07.2021
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ISSN:2331-8422
Online Access:Get full text
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