Humans learn generalizable representations through efficient coding
Abstract Reinforcement learning theory explains human behavior as driven by the goal of maximizing reward. Conventional approaches, however, offer limited insights into how people generalize from past experiences to new situations. Here, we propose refining the classical reinforcement learning frame...
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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Nature Portfolio
2025-04-01
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| Edice: | Nature Communications |
| On-line přístup: | https://doi.org/10.1038/s41467-025-58848-6 |
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