METHOD AND APPARATUS FOR AUTOMATICALLY GENERATED CURRICULUM SEQUENCE BASED REINFORCEMENT LEARNING FOR AUTONOMOUS VEHICLES

摘要

The present application generally relates to a method and apparatus for generating an action policy for controlling an autonomous vehicle. In particular, the system performs a deep learning algorithm in order to determine the action policy and an automatically generated curriculum system to determine a number of increasingly difficult tasks in order to refine the action policy.