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Dr. Free: You Don't Need Difficulty Rewards for Self-Evolving Search Agents
A central limitation of current data-free self-evolution methods for training search agents is their reliance on difficulty-based proposer rewards. These methods reward a proposer for generating questions that challenge a co-evolving solver, using solver difficulty as a proxy for question quality. Y
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