Hybrid Imitation RL

A training paradigm that combines imitation learning (from demonstrations) and reinforcement learning (from environment interaction) to leverage the sample efficiency of demonstrations while allowing RL to improve beyond the expert's performance. Methods include DAPG (demonstrations as a prior for policy gradient), IRL+RL, and Demo-Augmented PPO.