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News/Reflective Prompted Policy Optimization: Trajectory-Grounded Revision and Salience Bias
arxiv
PublishedMay 12, 2026 at 4:00 AM

Reflective Prompted Policy Optimization: Trajectory-Grounded Revision and Salience Bias

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arXiv:2605.08315v1 Announce Type: new Abstract: Existing LLM-based policy optimizers see only scalar rewards: that a policy scored 0.45, but not whether the agent got stuck in a loop, fell into a hole on the third step, or performed well on 19 out of 20 rollouts and failed catastrophically on one. W

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