Article

Tracking and optimizing human performance using deep reinforcement learning in closed-loop behavioral- and neuro- feedback: a proof of concept

2017-11-28

Abstract excerpt

Reinforcement learning (RL) is a general-purpose powerful machine learning framework within which we can model various deterministic, non-deterministic and complex environments. We applied RL to the problem of tracking and improving human sustained attention during a simple sustained attention to response task (SART) in a proof of concept study with two subjects, using state-of-the-art deep neural network-based RL...

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Literature Corpus work: 835e5003-d86a-5d42-9ab1-f41320bdccd4
DOI: 10.1101/225995

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