AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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PACEvolve++: Improving Test-time Learning for Evolutionary Search Agents
PACEvolve++ is introduced, an advisor-model reinforcement learning framework for test-time policy adaptation in evolutionary search agents, which outperforms the state-of-the-art evolutionary search framework with frontier models, achieving faster convergence and stabilizing test-time training during evolutionary searc...