Reinforcement Learning

Peter Dayan
In CR Gallistel, editor, Steven's Handbook of Experimental Psychology New York, NY: Wiley.


Abstract

Reinforcement learning studies the prediction and control of events of affective importance in terms of psychological and neural rules for adaptation. Reinforcement learning began as a marriage between ideas in mathematical behavioral psychology and artificial intelligence, and now has links all the way from neuromodulatory systems in vertebrates to engineering and statistical theories of adaptive optimizing control. In this chapter, we describe the basic theory underlying reinforcement learning, and its links with neuroscience, psychology, statistics and engineering.
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