1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 1 cited
ABC: Adversarial Behavioral Cloning for Offline Mode-Seeking Imitation Learning
Eddy Hudson, Ishan Durugkar, Garrett Warnell +1
Given a dataset of expert agent interactions with an environment of interest, a viable method to extract an effective agent policy is to estimate the maximum likelihood policy indi…
cs.LG2021
RAIL: A modular framework for Reinforcement-learning-based Adversarial Imitation Learning
Eddy Hudson, Garrett Warnell, Peter Stone
While Adversarial Imitation Learning (AIL) algorithms have recently led to state-of-the-art results on various imitation learning benchmarks, it is unclear as to what impact variou…
cs.LG2021
Skeletal Feature Compensation for Imitation Learning with Embodiment Mismatch
Eddy Hudson, Garrett Warnell, Faraz Torabi +1
Learning from demonstrations in the wild (e.g. YouTube videos) is a tantalizing goal in imitation learning. However, for this goal to be achieved, imitation learning algorithms mus…