Dijun Luo

Robust Imitation Learning from Corrupted Demonstrations

2022 · arXiv (Cornell University)

We consider offline Imitation Learning from corrupted demonstrations where a constant fraction of data can be noise or even arbitrary outliers. Classical approaches such as Behavior Cloning assumes that demonstrations are collected by an presumably …