AINeutralarXiv – CS AI · 7h ago6/10
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RHyVE: Competence-Aware Verification and Phase-Aware Deployment for LLM-Generated Reward Hypotheses
RHyVE is a new verification and deployment protocol for LLM-generated reward functions in reinforcement learning that addresses a critical gap: when and how to use AI-generated rewards during policy training. The research demonstrates that reward reliability depends on policy competence levels and training phases, requiring adaptive deployment strategies rather than static scheduling.