title: Reinforcement learning: the good, the bad and the ugly.
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.
authors: UCL, UK. dayan@gatsby.ucl.ac.uk
authors: Peter
authors: P
authors: Dayan
authors: Yael
authors: Y
authors: Niv
mesh_terms: D000223:Adaptation, Psychological / Q000502:physiology; D003163:Competitive Behavior / Q000502:physiology*; D003657:Decision Making / Q000502:physiology*; D006801:Humans; D007858:Learning / Q000502:physiology*; D009415:Nerve Net / Q000033:anatomy & histology / Q000502:physiology; D011678:Punishment / Q000523:psychology; D012054:Reinforcement, Psychology; D012201:Reward; D013997:Time Factors