Joao A. Candido Ramos

Noise-Guided Transport: Imitation Learning from Random Priors

We consider imitation learning in the low-data regime, where only a limited number of expert demonstrations are available. In this setting, methods that rely on large-scale pretraining or high-capacity architectures can be difficult to apply, and efficiency with respect to demonstration data becomes…