From the 2 of 18 linked papers with an AI index.
18 papers
Augmented Backpressure for Decentralized Management of Agentic Networks
Zuyuan Zhang, Sizhe Tang, Tian Lan
Agentic foundation-model service networks handle requests spanning retrieval, planning, generation, verification, and tool use. Unlike traditional communication networks, control p…
Learning Not to Optimize: Physics-Informed Action-Space Reshaping for Intent-Based Network Control
Zuyuan Zhang, Vaneet Aggarwal, Tian Lan
Modern network policy control maps intent to sequential placement-control decisions. Bellman-style policy optimization primarily asks which action to optimize, while constraints ar…
Auditing Emergent LLM-Agent Collaboration through Cooperation-Obligation Coupling
Zuyuan Zhang, Hanqing Yang, Carlee Joe-Wong +1
The paper proposes iCORE, a unified representation that combines a cooperation graph, an obligation graph, and an audit map to let auditors verify that each step of an LLM‑agent wo…
Minimal Markovization via Stable Quotients in Holonomy-Cover Decision Processes
Zuyuan Zhang, Yongshan Chen, Mahdi Imani +1
The paper defines the smallest memory representation needed for a class of partially observable decision processes called holonomy-cover decision processes, builds a stable quotien…
A Contractive Feedback Semantics for Reinforcement Learning
Zuyuan Zhang
Discounted reinforcement learning is usually presented through Bellman equations on closed Markov decision processes. This paper develops a compositional view: a one-step decision…
Matrix-Space Reinforcement Learning for Reusing Local Transition Geometry
Zuyuan Zhang, Carlee Joe-Wong, Tian Lan
Compositional generalization in sequential decision-making requires identifying which parts of prior rollouts remain useful for new tasks. Existing methods reuse skills or predicti…