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Novelty is not surprise: Human exploratory and adaptive behavior in sequential decision-making
Classic reinforcement learning (RL) theories cannot explain human behavior in the absence of external reward or when the environment changes. Here, we employ a deep sequential decision-making paradigm with sparse reward and abrupt environmental changes. To explain the behavior of human participants...
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| Veröffentlicht in: | PLoS Comput Biol |
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| Hauptverfasser: | , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science
2021
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8205159/ https://ncbi.nlm.nih.gov/pubmed/34081705 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1009070 |
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