Journal article
Reinforcement learning: full glass or empty - depends who you ask
- Abstract:
- An extension of the prediction error theory of dopamine, imported from artificial intelligence, represents the full distribution over future rewards rather than only the average and better explains dopamine responses.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Access Document
- Files:
-
-
(Preview, Accepted manuscript, 898.8KB, Terms of use)
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- Publisher copy:
- 10.1016/j.cub.2020.02.062
Authors
- Publisher:
- Cell Press
- Journal:
- Current Biology More from this journal
- Volume:
- 30
- Issue:
- 7
- Pages:
- R321-R324
- Publication date:
- 2020-04-06
- Acceptance date:
- 2020-04-06
- DOI:
- EISSN:
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1879-0445
- ISSN:
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0960-9822
- Pmid:
-
32259508
- Language:
-
English
- Keywords:
- Pubs id:
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1099285
- Local pid:
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pubs:1099285
- Deposit date:
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2020-06-01
Terms of use
- Copyright holder:
- Elsevier Inc.
- Copyright date:
- 2020
- Rights statement:
- © 2020 Published by Elsevier Inc.
- Notes:
-
This is the accepted manuscript version of the article. The final version is available from Elsevier at https://doi.org/10.1016/j.cub.2020.02.062
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