Raoul de Charette

Sparse Curriculum Reinforcement Learning for End-to-End Driving.

2021 · arXiv (Cornell University)

Deep reinforcement Learning for end-to-end driving is limited by the need of complex reward engineering. Sparse rewards can circumvent this challenge but suffers from long training time and leads to sub-optimal policy. In this work, …