Online Resource Allocation

Overview

Online resource allocation asks how to commit limited resources to requests that arrive over time, when future demand and rewards may be unknown. Methods include linear-programming and primal-dual pricing, threshold and greedy policies, and learning approaches such as bandits and reinforcement learning; applications range from inventory and queues to cloud and language-model serving. The goal is often to maximize welfare or revenue while respecting capacity, budget, deadline, or fairness constraints. Theory can provide constant or sublinear regret under suitable assumptions, but handling nonstationary demand, degenerate constraints, unreliable predictions, and hard feasibility guarantees together remains challenging.

Latest papers

CardsList

95 papers9 papers in the last four weeks, up 13% on the four weeks before. 0.1% of all new papers.

  1. Strategyproof Deep Reinforcement Learning for Online Resource Allocation

    Oct 27, 2026Fariba Dehghan, Sebastian Stein, Vahid Yazdanpanah +1Online Resource AllocationMechanism Design

  2. Lag: A Mean-Field Optimal Policy for Online Assignment with Reusable Resources

    Oct 13, 2026Keerthana GurushankarOnline Resource AllocationMulti-Armed Bandits

  3. Strategic Multi-Agent Resource Allocation via Statistical Contracts

    Oct 13, 2026Ben Chugg, Michael I. Jordan, Aaditya RamdasMechanism DesignStatistical Hypothesis Testing

  4. DataCupid: Stable Matching Repair for Training Data Acquisition with Delayed Feedback

    Oct 9, 2026He Sun, Junyuan Mao, Wenhao Jiang +2Online Resource AllocationTraining Data Curation

  5. Optimally Pacing Budget Spending and Learning

    Oct 8, 2026Mark Braverman, Jingyi Liu, Jieming Mao +2Online LearningOnline Resource Allocation

  6. TRACE: Tackling Real-World Resource Assignment Problems via Agentic Heuristic Design

    Oct 1, 2026Jose A. Ayala-Romero, Andres Garcia-Saavedra, Xavier Costa-PerezAutomated Heuristic DesignLLM Agent Orchestration

  7. ARGOS: Reinforcement Learning-Driven Multidimensional Elasticity for Service Orchestration in the Computing Continuum

    Sep 29, 2026Javier Mateos-Bravo, Sergio Laso, Juan Luis Herrera +3RL ControlOnline Resource Allocation

  8. ReCo: When to Relocate Sensor Kits under Deployment Constraints -- A NILM Case Study

    Sep 28, 2026Haokun Chen, Yu Tong, Yehai ChenNon-Intrusive Load MonitoringOnline Resource Allocation

  9. A General Framework for Budgeted Threshold Incentives on Request

    Sep 24, 2026Zhuolin Wu, Chengrui Zhu, Wenhua Nie +9Causal Effect EstimationOnline Resource Allocation

  10. Resource-Adaptive Stochastic Gradient Descent for Online Linear Programming without Re-solving

    Sep 23, 2026Jiameng LyuOnline Convex OptimizationOnline Resource Allocation

  11. FedPGT: Progressive Gradient Transmission for Vehicular Federated Learning over Time-Varying Channels

    Sep 16, 2026Jintao Yan, Tan Chen, Yuxuan Sun +2Communication-Efficient Distributed TrainingOnline Resource Allocation

  12. Learning Adaptive SED for heterogeneous load balancing

    Sep 7, 2026Sanne van Kempen, Jaron Sanders, Fiona Sloothaak +1Queueing TheoryOnline Resource Allocation

  13. A First-Order Learning Algorithm for Online Resource Allocation with Constant Regret

    Sep 5, 2026Menglong Li, Jiawei ZhangOnline Resource AllocationStochastic Optimization

  14. EF1-Constrained Nash Social Welfare with Identical Additive Valuations: Complexity, Guarantees, and Experiments

    Sep 3, 2026Zih-Sian Yang, Yi-Hao Chen, Yu-Te Kuan +3Fair Resource AllocationOnline Resource Allocation

  15. Learning-Augmented Online Allocation under Unreliable Advice: Robustness, Exposure Fairness, and Distribution Shift

    Aug 27, 2026Fredy PokouOnline Resource AllocationLearning-Augmented Algorithms

  16. Resource-Adaptive Primal-Dual Learning for One-Warehouse Multi-Store Systems with Censored Demand

    Aug 14, 2026Jiameng LyuInventory ControlOnline Resource Allocation

  17. User-Assisted Collaborative Distributed Inference for Efficient QoS-Aware Autoscaling

    Aug 12, 2026Alfreds Lapkovskis, Ali Beikmohammadi, Sindri Magnússon +1Distributed InferenceOnline Resource Allocation

  18. ImpactHO: Importance-Aware KV Cache Transfer for Multi-User Edge LLM Handover

    Aug 11, 2026Minwoo Kim, Soochang Song, Namyoon Lee +2KV CachingEdge Computing

  19. ScaleSense: Cost-Intelligent Scaling Framework via Learned Resource Estimation in Alibaba AnalyticDB

    Aug 8, 2026Yifan Wu, Yuhan Li, Zhenhua Wang +6Online Resource AllocationRelational Databases

  20. Adaptive Two-Level Allocation of a Conserved Capacity Budget Across Locations and Service Classes

    Aug 7, 2026Simone Mainardi, Kaushal Bansal, Prabhat SinghOnline Resource Allocation

  21. LLM Inference Under Bursty Workload Distribution: Modifying the WAIT Algorithm

    Aug 6, 2026Anjali Gangadhar Katageria, Shobha Rani, Raghu Nandan SenguptaLLM Inference SchedulingOnline Resource Allocation

  22. ASGE-RR: Agentic Service Graph Embedding with Revisable Reservations for Dynamic AI-Agent Calls

    Aug 6, 2026Trond Vatten, Yuming JiangAgentic WorkflowsOnline Resource Allocation