Reinforcement Learning, Fast and Slow

• Published in: Trends in cognitive sciences Vol. 23; no. 5; pp. 408 - 422
• Main Authors: Botvinick, Matthew, Ritter, Sam, Wang, Jane X., Kurth-Nelson, Zeb, Blundell, Charles, Hassabis, Demis
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 01.05.2019

Deep reinforcement learning (RL) methods have driven impressive advances in artificial intelligence in recent years, exceeding human performance in domains ranging from Atari to Go to no-limit poker. This progress has drawn the attention of cognitive scientists interested in understanding human lear...