Queue Control

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1 paper in the last four weeks, down 67% on the four weeks before. 0.0% of all new papers.

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Latest papers 32

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Physics-Informed Multi-Agent Coordination for Hospital Patient Flow Optimization
Sep 29, 2026Guoqing Zhang, Rafik Hadfi, Takayuki ItoMulti-Agent Coordination Queue Control
Graduate School of Informatics, Kyoto University, Kyoto, Japan
Artificial Intelligence for Energy Optimization in Data Centers
Sep 3, 2026Mohammed Basharath Ullah, Summaiya Unnisa Begum, Mohammed Nadeem UllahEnergy-Efficient Energy Resources
Hyderabad, India
Prediction-Assisted Pricing and Admission for LLM APIs with Stochastic Token Consumption
Sep 1, 2026Patrick WongDynamic Pricing Prices
A Multi-Modal AI Framework for Real-Time Queue Prediction, Management and Optimisation in Intelligent Border Control Systems
Aug 27, 2026Varvara Mama, Eleni Veroni, Nikolaos Kapsalis +2Traffic Signal Control Queue Control
Department of Electronic Engineering, Hellenic Mediterranean University, Chania, Greece, Crete, Greece · School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece, Athens, Greece
LLM Inference Under Bursty Workload Distribution: Modifying the WAIT Algorithm
Aug 6, 2026Anjali Gangadhar Katageria, Shobha Rani, Raghu Nandan SenguptaWorkload Queue Control
Department of Mathematics, Indian Institute of Technology Dharwad, Dharwad, Karnataka, India · Department of Management Sciences, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India
Differentiating Through Dual Prices: End-to-End Policy Learning Under Capacity Constraints
Aug 5, 2026Mohammadsaeed Haghi, Mahdi Salmani, Nima KelidariQueue Control Dynamic Pricing
University of Southern California
Schedule-Informed Temporal Fusion Forecasting of Hourly Airport Security-Checkpoint Throughput
Aug 3, 2026Yinxiao Zhang, Sen Wang, Yi GaoMulti-Stream Temporal Fusion Queue Control
School of Aviation and Transportation Technology, Purdue University · West Lafayette, Indiana, 47907 · Department of Geography, The Ohio State University +3
Learning-Augmented and Randomized Algorithms for Line Aggregation with Delays
Jul 30, 2026Tianhang Lu, Runtian Ren, Shengcai Liu +1Learning-Augmented Algorithms Queue Control
Guangdong Provincial Key Laboratory of Brain-Inspired Intelligent Computation, Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
Reflected UAS: Corrected Deterministic Stability and Direct CTMC Drift Calculation
Jul 30, 2026Krishna SubediQueue Control Markov
Neryva
Lifelong Multi-Subsystem Pickup and Delivery with Buffer-Limited Handover Stations
Jul 20, 2026Chuanlong Zang, Isabelle Barz, Anna Mannucci +3Handoff Queue Control
1Robert Bosch GmbH, Corporate Research, Stuttgart, Germany. · 2Technical University of Berlin, Berlin, Germany. · 3Robotics Institute Germany (RIG).
Simultaneous Arrival Control for Distributed Multi-Robot Systems with Curvature and Constant-Speed Constraints
Jul 16, 2026Zhouru Xiao, Yang Lu, Weijia Yao +2Multi-Robot Systems Queue Control
School of Artificial Intelligence and Robotics, Hunan University, China · College of Intelligence Science and Technology, National University of Defense Technology, China
Learning When to Automate: Queue Control in Human-AI Service Systems
Jul 7, 2026Giovanni Montanari, Marco Scarsini, Vianney PerchetQueue Control Automated
FairPlay Joint Team, Inria, France · CREST, ENSAE, Institut Polytechnique de Paris · Department of Economics and Financial Markets, Luiss University +1
Online Resource Allocation with Continuous Random Consumption: Regret under Degeneracy
Jul 2, 2026Jiawei Zhang\Widetilde{\Mathcal{O}}(\Sqrt{T})$ Regret Regret
Stern School of Business New York University
When Should Service Agents Reconsider? Difficulty-Routed Control in Customer-Service Operations
Jul 1, 2026Qian Chen, Chengyuan Liu, Xin YuEscalation Queue Control
†Department of Supply Chain and Information Systems · ‡Department of Statistics The Pennsylvania State University
Finite-Time Queue Peak Laws in Stochastic Networks: Logarithmic Scaling After Geometric Thresholds
Jun 16, 2026Hao Liang, Cheng Tang, Yunzong XuQueue Control Schedulers
University of Illinois Urbana–Champaign
Generative Frontier Planning for Adaptive Peer-Referral Recruitment under Covariate-Dependent Arrivals
Jun 6, 2026Lingkai Kong, Hezi Jiang, Andrew Ma +3Covariate Balancing Queue Control
Harvard University
SPOQ: Specialist Orchestrated Queuing for Multi-Agent Software Engineering
Jun 2, 2026Royce Carbowitz, Dheeraj KumarMulti-Agent Orchestration Software Engineering
Pinpoint Technologies LLC
Extending Causal Metamodeling to a non-Markovian Queue
May 30, 2026Pracheta Amaranath, Anant Bhide, David Jensen +1Queue Control Bayesian Networks
Manning College of Information and Computer Sciences, University of Massachusetts Amherst, MA, USA
Accelerating Reinforcement Learning Training Using Simulation Surrogate Models
May 26, 2026Mohammadmahdi Ghasemloo, David J. Eckman, Yaxian LiSimulation-Based Reinforcement Learning Surrogate Models
Department of Industrial and Systems Engineering, Texas A&M University, College Station, TX, USA · Intuit AI, Mountain View, CA, USA
Optimal and Order-optimal Gated Priority-based Greedy Policies for Two-layer Multi-item Order Fulfillment
May 25, 2026Xi Chen, Yuze Chen, Ziyi Chen +1Inventory Control Queue Control
Leonard N. Stern School of Business, New York University, New York, NY 10012, USA · Qiuzhen College, Tsinghua University, Beijing 100084, China · Yau Mathematical Sciences Center & Department of Mathematical Sciences, Tsinghua University, Beijing 100084, China
Learning Treatment Effects during Resource Allocation via Priority-Queue Randomization
May 24, 2026JungHo Lee, Johnna Sundberg, Pim Welle +1Heterogeneous Treatment Effects Queue Control
1Carnegie Mellon University · 2Allegheny County Department of Human Services
Deep Reinforcement Learning for Flexible Job Shop Scheduling with Random Job Arrivals
May 21, 2026Yu Tang, Muhammad Zakwan, Efe Balta +2Job Shop Scheduling Queue Control
Centre for Artificial Intelligence, Zurich University of Applied Sciences, Switzerland · Inspire AG, Zurich, Switzerland · Automatic Control Laboratory, ETH Zurich, Switzerland
Conveyor Parcel Routing with Order-Contiguous Arrivals
May 13, 2026Takuro Kato, Keisuke OkumuraLogistics Multi-Agent Path Finding
Toyota Industries Corporation, Japan · National Institute of Advanced Industrial Science and Technology (AIST), Japan
Adaptive Multi-Round Allocation with Stochastic Arrivals
May 12, 2026Yuqi Pan, Davin Choo, Haichuan Wang +3Queue Control Bellman Equation
Harvard University · University of Witwatersrand · Wits Health Consortium +1
Online Allocation with Unknown Shared Supply
May 8, 2026Tzeh Yuan Neoh, Davin Choo, Mengchu Yue +1Inventory Control Supply Chain Optimization
Harvard University
When Semantic Communication Meets Queueing: Cross-Layer Latency and Task Fidelity Optimization
May 6, 2026Yalin E. Sagduyu, Tugba ErpekSemantic Communications Power Allocation
Nexcepta, Gaithersburg, MD, USA
A Queueing-Theoretic Framework for Stability Analysis of LLM Inference with KV Cache Memory Constraints
May 6, 2026Chengyi Nie, Nian Si, Zijie ZhouLLM Inference Optimization Graphics Processing Unit Memory
Department of Electrical and Computer Engineering, Stony Brook University · Department of Industrial Engineering and Decision Analytics, HKUST
FedQueue: Queue-Aware Federated Learning for Cross-Facility HPC Training
May 4, 2026Yijiang Li, Emon Dey, Zilinghan Li +3Federated Learning Fedavg
Mathematics and Computer Science Division, Argonne National Laboratory, Lemont, IL, USA · Data Science and Learning Division, Argonne National Laboratory, Lemont, IL, USA
Asymptotically Robust Learning-Augmented Algorithms for Preemptive FIFO Buffer Management
Apr 29, 2026Wen-Han Hsieh, Ya-Chun LiangLearning-Augmented Algorithms Queue Control
Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan
Hybrid Spectro-Temporal Fusion Framework for Structural Health Monitoring
Apr 17, 2026Jongyeop Kim, Jinki Kim, Doyun LeeVibration Deep Learning
aDepartment of Information Technology, Georgia Southern University Statesboro, GA, USA · bDepartment of Mechanical Engineering, Georgia Southern University Statesboro, GA, USA · cDepartment of Civil Engineering and Construction, Georgia Southern University Statesboro, GA, USA
Policy Stability for Measuring Operational Performance in Task Assignment with Time-Windows Under Internal Adversarial Influence
Nov 7, 2025Roee M. Francos, Daniel Garces, Orhan Eren Akgün +1Vehicle Routing Problem Queue Control
School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138 USA
Online Linear Programming with Batching
Aug 1, 2024Haoran Xu, Peter W. Glynn, Yinyu YeLinear Programming Queue Control
Department of Management Science and Engineering, Stanford University

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Physics-Informed Multi-Agent Coordination for Hospital Patient Flow Optimization

Guoqing Zhang, Rafik Hadfi, Takayuki Ito

Graduate School of Informatics, Kyoto University, Kyoto, Japan

Multi-Agent Coordination Queue Control Partially Observable Markov Decision Process Offline Reinforcement Learning

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Efficient patient flow coordination across autonomous hospital departments is critical for mitigating overcrowding and balancing resource utilization. While classical queueing theory, specifically open Baskett--Chandy--Muntz--Palacios (BCMP) networks, provides an interpretable mathematical topology for healthcare operations, analytical models rely on stationary assumptions and fixed routing matrices that degrade under state-dependent real-world dynamics. Conversely, centralized reinforcement learning approaches struggle to accommodate the decentralized structure of hospital governance, where individual clinical departments function with localized observations, heterogeneous resources, and divergent operational objectives. In this paper, we present a Multi-Agent Systems (MAS) framework titled \emph{Physics-Informed Multi-Agent Coordination}, which embeds empirically calibrated BCMP queueing topologies as physical priors within a decentralized multi-agent reinforcement learning architecture. Formulated as a Decentralized Partially Observable Markov Decision Process (Dec-POMDP) under coupled resource constraints, our method enables autonomous departmental agents to cooperatively negotiate patient routing and dynamic service scaling. To mitigate environmental non-stationarity without inducing excessive communication overhead, agents exchange localized action fingerprints along network edges and optimize a spatially decomposed reward structure. Empirical evaluations driven by real-world MIMIC-IV patient trajectories indicate that this cooperative multi-agent approach substantially reduces cumulative system delay compared to static Markovian approximations, heuristic dispatching, and independent multi-agent baselines, while maintaining clinical safety constraints.

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Latest papers 32