Lerrel Pinto

Watch and Match: Supercharging Imitation with Regularized Optimal Transport

2022 · arXiv (Cornell University)

Imitation learning holds tremendous promise in learning policies efficiently for complex decision making problems. Current state-of-the-art algorithms often use inverse reinforcement learning (IRL), where given a set of expert demonstrations, an agent alternatively infers a …