Benjamin Wexler

Analyzing and Overcoming Degradation in Warm-Start Reinforcement Learning

Reinforcement Learning (RL) for robotic applications can benefit from a warm-start where the agent is initialized with a pretrained behavioral policy. However, when transitioning to RL updates, degradation in performance can occur, which may compromise the robot's safety. This degradation, which con…