Seminar · Reinforcement Learning
Deep reinforcement learning and its neuroscientific implications
Matt Botvinick · DeepMind
Sat, Jul 18, 2020 · 15:00 UTC
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