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Saturday, July 18 • 3:00pm - 4:00pm
K1: Deep reinforcement learning and its neuroscientific implications

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Matthew Botvinick

Neurostars discussion

The last few years have seen some dramatic developments in artificial intelligence research. 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. 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. Deep RL offers a rich framework for studying the interplay among learning, representation and decision-making, offering to the brain sciences a new set of research tools and a wide range of novel hypotheses. I'll provide a high level introduction to deep RL, discuss some recent neuroscience-oriented investigations from my group at DeepMind, and survey some wider implications for research on brain and behavior.

avatar for Matthew Botvinick

Matthew Botvinick

Director of Neuroscience Research, DeepMind

Saturday July 18, 2020 3:00pm - 4:00pm CEST
  • Moderator Thomas Novotny; Shirin Dora