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When Better Gets Worse: Improvement Fidelity for Self-Improving Agents in Adaptive Worlds

Wang, Ke et al.
arXiv (All) · Papers
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multiagent-systems
Self-improving agents increasingly rely on proxy verifiers to choose policy updates, yet deployment can change the world in which those updates are evaluated. An update that looks better to the verifier can therefore become worse after deployment even when the verifier ranks policies well overall. W
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