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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| Published in: | arXiv.org |
|---|---|
| Main Authors: | , , , , |
| Format: | Paper |
| Language: | English |
| Published: |
Ithaca
Cornell University Library, arXiv.org
16.07.2021
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| Subjects: | |
| ISSN: | 2331-8422 |
| Online Access: | Get full text |
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