Provable Representation Learning for Imitation with Contrastive Fourier Features
–Neural Information Processing Systems
In imitation learning, it is common to learn a behavior policy to match an unknown target policy via max-likelihood training on a collected set of target demonstrations.
Neural Information Processing Systems
Aug-19-2025, 01:28:26 GMT