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20242026
most citedAchieving Exponential Asymptotic Optimality in Average-Reward Restless Bandits without Global Attractor Assumption

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cs.LG2026

Achieving an Optimality Gap in Average-Reward Weakly-Coupled MDPs

Yige Hong, Xiangcheng Zhang, Qiaomin Xie +2

We study average-reward weakly-coupled Markov decision processes (WCMDPs), where a WCMDP consists of smaller MDPs, called arms, that share multiple per-step budget constraints.…

cs.LG2026

Lyapunov-Based Sample Complexity Analysis for Weakly-Coupled MDPs

Tianhao Wu, Matthew Zurek, Weina Wang +1

We study the sample complexity of learning in average-reward weakly-coupled Markov decision processes (WCMDPs) and Restless Bandits (RBs) under a generative model. Naive reduction…

math.OC2026

Optimality of a Threshold Policy for a Queueing System with One Fast Server and Two Identical Slow Servers

Weina Wang, Taha Ameen, Yudong Chen +3

This paper studies the optimal control problem of a queueing system with three servers: one fast server and two identical slow servers. The two-server version of this problem, with…