Imitation Learning using Generalized Sliced Wasserstein Distances
- Type
- Preprint / manuscript
- Venue / status
- TMLR, in review
Status: Under review.
Summary: Explores sliced-Wasserstein objectives for imitation learning by matching expert and policy occupancy distributions.