Dayan, P and Niv, Y (2008) Reinforcement learning: the good, the bad and the ugly. Curr Opin Neurobiol , 18 (2) 185 - 196. 10.1016/j.conb.2008.08.003.
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Abstract
Reinforcement learning provides both qualitative and quantitative frameworks for understanding and modeling adaptive decision-making in the face of rewards and punishments. Here we review the latest dispatches from the forefront of this field, and map out some of the territories where lie monsters.
| Type: | Article |
|---|---|
| Title: | Reinforcement learning: the good, the bad and the ugly. |
| Location: | England |
| DOI: | 10.1016/j.conb.2008.08.003 |
| Language: | English |
| Keywords: | Adaptation, Psychological, Competitive Behavior, Decision Making, Humans, Learning, Nerve Net, Punishment, Reinforcement (Psychology), Reward, Time Factors |
| UCL classification: | UCL > School of Life and Medical Sciences > Faculty of Life Sciences > Gatsby Computational Neuroscience Unit |
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