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Human and Machine Learning in Non-Markovian Decision Making
Humans can learn under a wide variety of feedback conditions. Reinforcement learning (RL), where a series of rewarded decisions must be made, is a particularly important type of learning. Computational and behavioral studies of RL have focused mainly on Markovian decision processes, where the next s...
Uloženo v:
| Vydáno v: | PLoS One |
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| Hlavní autoři: | , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Public Library of Science
2015
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4405578/ https://ncbi.nlm.nih.gov/pubmed/25898139 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0123105 |
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