AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Designing effective memory mechanisms is crucial for advancing LLM-driven Multi-Agent Systems (MAS), helping agents learn together and perform better over time. While recent work has led to strong cooperation skills, most methods still use flat, unstructured memories, which easily get filled with noise and erase differ...
Transition-wise Rubric Credit Assignment (TRCA) is proposed, which derives step-level supervision directly from action-induced transitions without learned evaluators or successful anchors for long-horizon tasks with sparse successful anchors.
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