Behavior Uncloning: Distilling Mode Redirection into Policy Weights without Inference-Time Steering
MoRE is a framework that modifies existing behavior cloning policies to suppress unsafe or undesired behaviors without adding any extra computation during deployment. It trains a classifier to identify unwanted modes and uses that signal to adjust the policy's weights, steering the robot toward safe actions while maintaining task performance.