This Google paper proposes BARL — Bayesian Adaptive RL for Reflective Exploration. What it can do: – Encourages reflective behaviors to emerge naturally during training.
– Guides LLMs to explore when needed, rather than relying on static policies.
– Results in fewer tokens used

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