Accelerating Policy Learning for Underwater Vehicle Control

This ArXiv paper likely presents novel methods for improving the efficiency of reinforcement learning algorithms used to control underwater vehicles. The focus on 6-DOF position control suggests a complex and challenging control problem that could have practical applications.