22nd Annual Lecture
Director of Neuroscience Research, DeepMind
Honorary Professor, Gatsby Computational Neuroscience Unit, University College London
Friday, March 6, 2020
Levin Building Auditorium
425 S. University Avenue, Lower Level
Deep reinforcement learning and its neuroscientific implications
The last few years have seen some dramatic developments in artificial intelligence research. What implications might these have for neuroscience and psychology? Investigations of this question have, to date, focused largely on deep neural networks trained using supervised learning, in tasks such as image classification. In this talk, I’ll discuss another area of recent AI work which has so far received less attention from neuroscientists and psychologists, but which may have more profound implications: Deep reinforcement learning. Deep RL provides 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 and survey some of its key implications for research on the brain and behavior.