Feudal Steering: Hierarchical Learning for Steering Angle Prediction

摘要

We consider the challenge of automated steering angle prediction for self driving cars using egocentric road images. In this work, we explore the use of feudal networks, used in hierarchical reinforcement learning (HRL), to devise a vehicle agent to predi