Model-based reinforcement learning
Sergey Levine
Coauthor of SimPLe, studying reinforcement learning through learned environment dynamics.
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Model-Based Reinforcement Learning for Atari
SimPLe (Simulated Policy Learning) trains a video prediction model of an Atari game and learns a policy inside it, using only 100k environment interactions, about two hours of real-time play.