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Cold-Start Failure-Only Evolution reveals that current self-evolving agents are better at repairing observed failures than building generalizable capabilities from failure, and suggests that current self-evolving agents are better at repairing observed failures than building generalizable capabilities from failure.
Expert-written natural language skills can improve tool-using agents, yet agent-authored skills perform 8-11 points worse than using no skill. This gap suggests that following procedural guidance and improving it from execution evidence are distinct capabilities. Inference time loops can repair skills but do not improv...
A Brownian-bridge self-normalizer yields asymptotically pivotal confidence regions for prespecified state-value contrasts for prespecified state-value contrasts without estimating the long-run covariance or selecting a bandwidth or batch length.
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