David Z. W. Wang

Bounding the Inefficiency of Risk-Averse Selfish Routing with Nonadditive CVaR

Modern AI-driven systems rely on large populations of autonomous agents that make decentralized routing decisions under uncertainty, where rare but severe tail latency can critically degrade quality of experience, safety, and reliability. To model agents’ aversion to such tail latency, we study nona