Reflective Prompted Policy Optimization uses a Critic-LLM to inspect full trajectories and propose grounded revisions, yielding higher mean best rewards, faster near-optimal performance, and greater stability than scalar-reward baselines across ten environments.
Introducing gpt-oss, 2025
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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