AIBullisharXiv – CS AI · Mar 27/1016
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SMAC: Score-Matched Actor-Critics for Robust Offline-to-Online Transfer
Researchers developed Score Matched Actor-Critic (SMAC), a new offline reinforcement learning method that enables smooth transition to online RL algorithms without performance drops. SMAC achieved successful transfer in all 6 D4RL tasks tested and reduced regret by 34-58% in 4 of 6 environments compared to best baselines.