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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Auteurs principaux: | He A Xu, Alireza Modirshanechi, Marco P Lehmann, Wulfram Gerstner, Michael H Herzog |
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Format: | article |
Langue: | EN |
Publié: |
Public Library of Science (PLoS)
2021
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Accès en ligne: | https://doaj.org/article/c394c02f72114f7f930a45a422d833f0 |
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