RubricEM uses rubric-guided stagewise policy decomposition and reflection-based meta-policy evolution to improve long-horizon research agents beyond verifiable rewards.
Reward scoring results are returned immediately for task-policy training; reflection scoring continues asynchronously
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RubricEM: Meta-RL with Rubric-guided Policy Decomposition beyond Verifiable Rewards
RubricEM uses rubric-guided stagewise policy decomposition and reflection-based meta-policy evolution to improve long-horizon research agents beyond verifiable rewards.