Reinforcement Learning in Artificial and Biological Systems. Neftci, E. O. & Averbeck, B. B.
Reinforcement Learning in Artificial and Biological Systems [link]Paper  doi  abstract   bibtex   
Research on reinforcement learning in artificial agents focuses on a single complex problem within a static environment. In biological agents, research focuses on simple learning problems embedded in flexible, dynamic environments. The authors review the literature on these topics and suggest areas of synergy between them.
@article{neftciReinforcementLearningArtificial2019,
  langid = {english},
  title = {Reinforcement Learning in Artificial and Biological Systems},
  issn = {2522-5839},
  url = {https://www.nature.com/articles/s42256-019-0025-4},
  doi = {10.1038/s42256-019-0025-4},
  abstract = {Research on reinforcement learning in artificial agents focuses on a single complex problem within a static environment. In biological agents, research focuses on simple learning problems embedded in flexible, dynamic environments. The authors review the literature on these topics and suggest areas of synergy between them.},
  journaltitle = {Nature Machine Intelligence},
  urldate = {2019-03-05},
  date = {2019-03-04},
  pages = {1},
  author = {Neftci, Emre O. and Averbeck, Bruno B.},
  file = {/home/dimitri/Nextcloud/Zotero/storage/99HN7D26/Neftci and Averbeck - 2019 - Reinforcement learning in artificial and biologica.pdf;/home/dimitri/Nextcloud/Zotero/storage/95NTAIEJ/s42256-019-0025-4.html}
}
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