DROL trains one-step offline RL actors via top-1 dynamic routing of dataset actions to latent candidates, enabling local improvements while preserving data support and retaining cheap inference.
Tucker, and Sergey Levine
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Preserve Support, Not Correspondence: Dynamic Routing for Offline Reinforcement Learning
DROL trains one-step offline RL actors via top-1 dynamic routing of dataset actions to latent candidates, enabling local improvements while preserving data support and retaining cheap inference.