Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL

Andrew Wagenmaker, Kevin Huang, Liyiming Ke +3

In order to mitigate the sample complexity of real-world reinforcement learning, common practice is to first train a policy in a simulator where samples are cheap, and then deploy…