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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Mingxuan Li

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Preprint Jul 2026

Counterfactual Shapley Credit Assignment

The Credit Assignment Problem (CAP) is fundamental to developing efficient and explainable Reinforcement Learning (RL) agents. Existing frameworks, whether relying on temporal contiguity or hindsight-conditioned reward reweighting, frequently fail to attribute properly between an agent's policy (skill) and environmenta...

Mingxuan Li, Kai-Zhan Lee, E. Bareinboim · 0 citations
Preprint Aug 2026

Don't Solve, Just Compare: Tiny Advisors for Runtime Intervention in LLM Agents

Comparison-Only Tiny Advisor (COTA), a comparison-only framework for constructive runtime intervention that shows that constructive runtime intervention can remain effective even when the auxiliary model has substantially weaker task-solving capability than the actor.

Yan-Ze Jiang, Mingxuan Li, Yuhao Wang et al. · 2 citations

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