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...
| Main Authors: | , , , , , |
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| Format: | Online |
| Language: | English |
| Published: |
Public Library of Science
2015
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4405578/ |