Nathan S. de Lara

SMAC: Score-Matched Actor-Critics for Robust Offline-to-Online Transfer

Modern offline Reinforcement Learning (RL) methods find performant actor-critics, however, fine-tuning these actor-critics online with value-based RL algorithms typically causes immediate drops in performance. We provide evidence consistent with the hypothesis that, in the loss landscape, offline ma…