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PACEvolve++: Improving Test-time Learning for Evolutionary Search Agents
PACEvolve++ adapts evolutionary search policies at test time via advisor-model reinforcement learning, using phase-adaptive optimization to outperform frontier-model baselines across engineering and protein tasks.
Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 4 on Hugging Face
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AI panel: 9 of 20 reviewers recommend it
lenient 5/5
medium 4/10
strict 0/5