Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4334541 | Current Opinion in Neurobiology | 2008 | 12 Pages |
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.
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Authors
Peter Dayan, Yael Niv,