Mar 9, 2021 · We propose a new utility-guided online learning and task assignment algorithm that seamlessly integrates learning with control to address such difficulty.

Motivated by these features, in this paper we focus on the following queueing system model that incorporates uncertainty in both client dynamics and payoffs.

Ineffective learning, in turn, leads to suboptimal assignment decisions based on inaccurate payoff estimates, which increases queueing delay and lowers system ...

Instead, they propose a novel utility-guided assignment algorithm that seamlessly integrates online learning and adaptive control to provide high system payoffs ...

Integrating Online Learning and Adaptive Control in. Queueing Systems with Uncertain Payoffs. Jiaming Xu. Krannert School of Management. Purdue University.

Thus, the operator must design task-assignment policies that integrate adaptive control (of the queueing system) with online learning (of the clients' payoff ...

Integrated online learning and adaptive control in queueing systems with uncertain payoffs. WK Hsu, J Xu, X Lin, MR Bell. Operations Research 70 (2), 1166-1181, ...

Integrated Online Learning and Adaptive Control in Queueing Systems with Uncertain Payoffs. Journal Article Operations Research · March 1, 2022 We study task ...

Aug 7, 2024 · Integrated Online Learning and Adaptive Control in Queueing Systems with Uncertain Payoffs. Oper. Res. 70(2): 1166-1181 (2022). [+][–]. 2010 ...

Wei-Kang Hsu's 4 research works with 54 citations, including: Integrated Online Learning and Adaptive Control in Queueing Systems with Uncertain Payoffs.