WebISL Title: Near-Optimal Algorithms for Imitation Learning Speaker: Jiantao Jiao – Assistant Professor, UC Berkeley Date: April 13 Time: 4:00 PM Location: Packard 202. Abstract: We study the fundamental limits and efficient algorithms for imitation learning in Markov decision processes (MDP). WebMay 8, 2024 · On-policy imitation learning algorithms such as Dagger evolve a robot control policy by executing it, measuring performance (loss), obtaining corrective feedback from a supervisor, and generating the next policy. As the loss between iterations can vary unpredictably, a fundamental question is under what conditions this process will …
RL — Imitation Learning. Imitation is a key part in the human
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