OSIL: Learning Offline Safe Imitation Policies with Safety Inferred from Non-preferred Trajectories

Returaj Burnwal, Nirav Pravinbhai Bhatt, Balaraman Ravindran

This work addresses the problem of offline safe imitation learning (IL), where the goal is to learn safe and reward-maximizing policies from demonstrations that do not have per-tim…