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Algorithms from computer science can serve as detailed process-level hypotheses for how the brain might approach difficult information processing problems. This tutorial reviews how ideas from the computational study of reinforcement learning have been used in biology to conceptualize the brain's me ...

Approaches to reinforcement learning and statistical decision theory from artificial intelligence offer appealing frameworks for understanding how biological brains solve decision problems in the natural world. In particular, these engineering approaches typically begin with a clear, normative analy ...