Ethan Hirschowitz

Warp RL: Reshaping Base Policy Distributions for Dynamics Adaptation

Ethan Hirschowitz, Fabio Ramos

Residual reinforcement learning adapts a pretrained robot policy by learning an additive correction to its actions. While effective when adaptation amounts to shifting the base policy's action distribution, additive corrections cannot change the distribution's shape, scale, or st…Read more