OraRL: Efficient and Scalable RL for Video MLLMs
Yunheng Li · hf · 2026-08-26
OraRL improves RL post-training for video MLLMs by integrating oracle rollouts with decoupled advantage estimation and sign-balanced pruning. It achieves higher sample efficiency and scalability without chain-of-thought generation.
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