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Queueing Network Controls via Deep Reinforcement Learning

Stochastic Systems (Stoch. Syst.), 2020

31 July 2020

Papers citing "Queueing Network Controls via Deep Reinforcement Learning"

32 / 32 papers shown

Title
Non-iid hypothesis testing: from classical to quantum Giacomo De Palma Marco Fanizza Connor Mowry Ryan O'Donnell 76 0 0 07 Oct 2025
Optimising Call Centre Operations using Reinforcement Learning: Value Iteration versus Proximal Policy Optimisation Kwong Ho Li Wathsala Karunarathne OffRL 82 0 0 24 Jul 2025
QSpark: Towards Reliable Qiskit Code Generation Kiana Kheiri Aamna Aamir Andriy Miranskyy Chen Ding 169 2 0 16 Jul 2025
Semi-Gradient SARSA Routing with Theoretical Guarantee on Traffic Stability and Weight Convergence Yidan Wu Yu Yu Jianan Zhang Li Jin 158 0 0 19 Mar 2025
A Novel Switch-Type Policy Network for Resource Allocation Problems: Technical ReportInternational Symposium on Modeling and Optimization in Mobile, Ad-Hoc and Wireless Networks (WiOpt), 2025 Jerrod Wigmore B. Shrader E. Modiano 215 0 0 19 Jan 2025
QGym: Scalable Simulation and Benchmarking of Queuing Network ControllersNeural Information Processing Systems (NeurIPS), 2024 Haozhe Chen Ang Li Ethan Che Tianyi Peng Jing Dong Hongseok Namkoong OffRL 117 0 0 08 Oct 2024
Adversarial Network Optimization under Bandit Feedback: Maximizing Utility in Non-Stationary Multi-Hop NetworksProceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS), 2024 Yan Dai Longbo Huang 122 3 0 29 Aug 2024
Edge AI: A Taxonomy, Systematic Review and Future Directions S. Gill Muhammed Golec Jianmin Hu Minxian Xu Junhui Du ... Kejiang Ye Prabal Verma Surendra Kumar Félix Cuadrado Steve Uhlig 197 94 0 04 Jul 2024
Reinforcement Learning for Intensity Control: An Application to Choice-Based Network Revenue Management Huiling Meng Yi Xiong Ningyuan Chen 163 2 0 08 Jun 2024
Performance of NPG in Countable State-Space Average-Cost RL Yashaswini Murthy Isaac Grosof S. T. Maguluri R. Srikant OffRL 168 1 0 30 May 2024
Intervention-Assisted Policy Gradient Methods for Online Stochastic Queuing Network Optimization: Technical Report Jerrod Wigmore B. Shrader E. Modiano OffRL 164 2 0 05 Apr 2024
Efficient Reinforcement Learning for Routing Jobs in Heterogeneous Queueing Systems Neharika Jali Guannan Qu Weina Wang Gauri Joshi 185 7 0 02 Feb 2024
Constant Stepsize Q-learning: Distributional Convergence, Bias and Extrapolation Yixuan Zhang Qiaomin Xie 227 11 0 25 Jan 2024
Optimal Control of Multiclass Fluid Queueing Networks: A Machine Learning Approach Dimitris Bertsimas Cheolhyeong Kim 63 3 0 23 Jul 2023
Bayesian Learning of Optimal Policies in Markov Decision Processes with Countably Infinite State-SpaceNeural Information Processing Systems (NeurIPS), 2023 Saghar Adler V. Subramanian 147 2 0 05 Jun 2023
Learning to Stabilize Online Reinforcement Learning in Unbounded State SpacesInternational Conference on Machine Learning (ICML), 2023 Brahma S. Pavse M. Zurek Yudong Chen Qiaomin Xie Josiah P. Hanna OffRL 278 2 0 02 Jun 2023
Policy Optimization for Continuous Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2023 Hanyang Zhao Wenpin Tang D. Yao OffRL 241 28 0 30 May 2023
Sample Efficient Reinforcement Learning in Mixed Systems through Augmented Samples and Its Applications to Queueing NetworksNeural Information Processing Systems (NeurIPS), 2023 Honghao Wei Xin Liu Weina Wang Lei Ying 152 10 0 25 May 2023
Online Learning and Optimization for Queues with Unknown Demand Curve and Service Distribution Xinyun Chen Yunan Liu Yunan Liu 97 4 0 06 Mar 2023
Minimax Optimal Estimation of Stability Under Distribution ShiftOperational Research (OR), 2022 Hongseok Namkoong Yuanzhe Ma Peter Glynn 296 6 0 13 Dec 2022
Offline Estimation of Controlled Markov Chains: Minimaxity and Sample Complexity Imon Banerjee Harsha Honnappa Vinayak A. Rao OffRL 188 3 0 14 Nov 2022
Hindsight Learning for MDPs with Exogenous InputsInternational Conference on Machine Learning (ICML), 2022 Sean R. Sinclair Felipe Vieira Frujeri Ching-An Cheng Luke Marshall Hugo Barbalho Jingling Li Jennifer Neville Ishai Menache Adith Swaminathan 191 25 0 13 Jul 2022
Finding Optimal Policy for Queueing Models: New Parameterization Trang H. Tran Lam M. Nguyen K. Scheinberg OffRL 114 2 0 21 Jun 2022
Logarithmic regret bounds for continuous-time average-reward Markov decision processesSIAM Journal of Control and Optimization (SICON), 2022 Ningyuan Chen X. Zhou 295 9 0 23 May 2022
Learning to Admit Optimally in an $M/M/k/k+N$ Queueing System with Unknown Service Rate Saghar Adler Mehrdad Moharrami V. Subramanian 130 1 0 04 Feb 2022
Can machines solve general queueing systems? Eliran Sherzer Arik Senderovich Opher Baron Dmitry Krass 54 3 0 03 Feb 2022
Refined Policy Improvement Bounds for MDPs J. Dai Mark O. Gluzman 83 3 0 16 Jul 2021
Average-Reward Reinforcement Learning with Trust Region MethodsInternational Joint Conference on Artificial Intelligence (IJCAI), 2021 Xiaoteng Ma Xiao-Jing Tang Li Xia Jun Yang Qianchuan Zhao 145 23 0 07 Jun 2021
Learning and Information in Stochastic Networks and Queues N. Walton Kuang Xu 177 21 0 18 May 2021
Benchmarking Perturbation-based Saliency Maps for Explaining Atari AgentsFrontiers in Artificial Intelligence (Front. Artif. Intell.), 2021 Tobias Huber Benedikt Limmer Elisabeth André FAtt 135 18 0 18 Jan 2021
Scalable Deep Reinforcement Learning for Ride-HailingIEEE Control Systems Letters (L-CSS), 2020 Jiekun Feng Mark O. Gluzman J. Dai BDL 166 19 0 27 Sep 2020
An online learning approach to dynamic pricing and capacity sizing in service systemsOperational Research (OR), 2020 Xinyun Chen Yunan Liu Yunan Liu 133 25 0 07 Sep 2020