Reinforcement learning in depression: A review of computational research
Abstract
Despite being considered primarily a mood disorder, major depressive disorder (MDD) is characterized by cognitive and decision making deficits. Recent research has employed computational models of reinforcement learning (RL) to address these deficits. The computational approach has the advantage in making explicit predictions about learning and behavior, specifying the process parameters of RL, differentiating between model-free and model-based...
Paper Details
Title
Reinforcement learning in depression: A review of computational research
Published Date
Aug 1, 2015
Volume
55
Pages
247 - 267
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