期刊
CURRENT OPINION IN NEUROBIOLOGY
卷 21, 期 3, 页码 368-373出版社
CURRENT BIOLOGY LTD
DOI: 10.1016/j.conb.2011.04.001
关键词
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Accumulating evidence shows that the neural network of the cerebral cortex and the basal ganglia is critically involved in reinforcement learning. Recent studies found functional heterogeneity within the cortico-basal ganglia circuit, especially in its ventromedial to dorsolateral axis. Here we review computational issues in reinforcement learning and propose a working hypothesis on how multiple reinforcement learning algorithms are implemented in the cortico-basal ganglia circuit using different representations of states, values, and actions.
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