Asynchronous Methods for Deep Reinforcement Learning

Volodymyr Mnih and collaborators submitted 'Asynchronous Methods for Deep Reinforcement Learning' on February 4, 2016. The paper presents asynchronous variants of four reinforcement-learning algorithms and reports that its asynchronous actor-critic variant was the best-performing method in the study.