However, there is another area of recent AI work which has so far received less attention from neuroscientists, but which may have more profound neuroscientific implications: deep reinforcement learning. What implications might these have for neuroscience? Investigations of this question have, to date, focused largely on deep neural networks trained using supervised learning, in tasks such as image classification. The last few years have seen some dramatic developments in artificial intelligence research. Matthew Botvinick Google DeepMind, Neuroscience Research, London, United Kingdom Correspondence: Matthew Botvinick Neuroscience 2020, 21(Suppl 1):K1
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