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Robots can now learn and adapt in real-time, overcoming inference delays that previously stymied reinforcement learning effectiveness.
Continuous scoring from LLM-as-a-Verifier leads to state-of-the-art verification accuracy and improved sample efficiency in reinforcement learning tasks.
