Reinforcement learning: the good, the bad and the ugly

Current Opinion in Neurobiology
Peter Dayan, Yael Niv

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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