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RL-QN: A Reinforcement Learning Framework for Optimal Control of
  Queueing Systems
v1v2 (latest)

RL-QN: A Reinforcement Learning Framework for Optimal Control of Queueing Systems

ACM Transactions on Modeling and Performance Evaluation of Computing Systems (ACM TOMPECS), 2020
14 November 2020
Bai Liu
Qiaomin Xie
E. Modiano
ArXiv (abs)PDFHTML

Papers citing "RL-QN: A Reinforcement Learning Framework for Optimal Control of Queueing Systems"

8 / 8 papers shown
A Flexible Multi-Agent Deep Reinforcement Learning Framework for Dynamic Routing and Scheduling of Latency-Critical Services
A Flexible Multi-Agent Deep Reinforcement Learning Framework for Dynamic Routing and Scheduling of Latency-Critical Services
Vincenzo Norman Vitale
A. Tulino
Andreas F. Molisch
Jaime Llorca
84
0
0
13 Oct 2025
Optimising Call Centre Operations using Reinforcement Learning: Value Iteration versus Proximal Policy Optimisation
Optimising Call Centre Operations using Reinforcement Learning: Value Iteration versus Proximal Policy Optimisation
Kwong Ho Li
Wathsala Karunarathne
OffRL
93
0
0
24 Jul 2025
Natural Policy Gradient for Average Reward Non-Stationary RL
Natural Policy Gradient for Average Reward Non-Stationary RL
Neharika Jali
Eshika Pathak
Pranay Sharma
Guannan Qu
Gauri Joshi
279
1
0
23 Apr 2025
Semi-Gradient SARSA Routing with Theoretical Guarantee on Traffic Stability and Weight Convergence
Semi-Gradient SARSA Routing with Theoretical Guarantee on Traffic Stability and Weight Convergence
Yidan Wu
Yu Yu
Jianan Zhang
Li Jin
188
0
0
19 Mar 2025
QGym: Scalable Simulation and Benchmarking of Queuing Network
  Controllers
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
163
0
0
08 Oct 2024
Adversarial Network Optimization under Bandit Feedback: Maximizing
  Utility in Non-Stationary Multi-Hop Networks
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
174
3
0
29 Aug 2024
Efficient Reinforcement Learning for Routing Jobs in Heterogeneous
  Queueing Systems
Efficient Reinforcement Learning for Routing Jobs in Heterogeneous Queueing Systems
Neharika Jali
Guannan Qu
Weina Wang
Gauri Joshi
232
8
0
02 Feb 2024
Learning to Stabilize Online Reinforcement Learning in Unbounded State
  Spaces
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
359
2
0
02 Jun 2023
1