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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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.
|Title:||Reinforcement learning: the good, the bad and the ugly.|
|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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