SPAR anchors policy learning to a frozen BC policy for residual rectification and introduces latent self-imitation to eliminate manifold drift, achieving SOTA on D4RL.
The in-sample softmax for offline reinforcement learning
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SPAR: Support-Preserving Action Rectification
SPAR anchors policy learning to a frozen BC policy for residual rectification and introduces latent self-imitation to eliminate manifold drift, achieving SOTA on D4RL.