GRI: General Reinforced Imitation and its Application to Vision-Based Autonomous Driving. (arXiv:2111.08575v2 [cs.RO] UPDATED)

Deep reinforcement learning (DRL) has been demonstrated to be effective for
several complex decision-making applications such as autonomous driving and
robotics. However, DRL is notoriously limited by its high sample complexity and
its lack of stability. Prior knowledge, e.g. as expert demonstrations, is often
available but challenging to leverage to mitigate these issues. In this paper,
we propose General Reinforced Imitation (GRI), a novel method which combines
benefits from exploration and expert data and is straightforward to implement
over any …

application arxiv autonomous autonomous driving driving general vision