Learning and Information in Stochastic Networks and Queues

18 May 2021

Papers citing "Learning and Information in Stochastic Networks and Queues"

12 / 12 papers shown

Title
Efficient Reinforcement Learning for Routing Jobs in Heterogeneous Queueing Systems Neharika Jali Guannan Qu Weina Wang Gauri Joshi 24 5 0 02 Feb 2024
Bayesian Learning of Optimal Policies in Markov Decision Processes with Countably Infinite State-Space Saghar Adler V. Subramanian 25 2 0 05 Jun 2023
Online Learning and Optimization for Queues with Unknown Demand Curve and Service Distribution Xinyun Chen Yunan Liu Guiyu Hong 22 1 0 06 Mar 2023
Reinforcement Learning in a Birth and Death Process: Breaking the Dependence on the State Space Jonatha Anselmi B. Gaujal Louis-Sébastien Rebuffi 27 2 0 21 Feb 2023
Learning-based Optimal Admission Control in a Single Server Queuing System A. Cohen V. Subramanian Yili Zhang 17 3 0 21 Dec 2022
Minimax Optimal Estimation of Stability Under Distribution Shift Hongseok Namkoong Yuanzhe Ma Peter Glynn 31 6 0 13 Dec 2022
Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning Yizhou Zhang Guannan Qu Pan Xu Yiheng Lin Zaiwei Chen Adam Wierman 36 25 0 30 Nov 2022
Learning a Discrete Set of Optimal Allocation Rules in a Queueing System with Unknown Service Rate Saghar Adler Mehrdad Moharrami V. Subramanian 24 1 0 04 Feb 2022
Better than the Best: Gradient-based Improper Reinforcement Learning for Network Scheduling Mohammani Zaki Avinash Mohan Aditya Gopalan Shie Mannor 14 1 0 01 May 2021
Reinforcement Learning for Traffic Signal Control: Comparison with Commercial Systems Alvaro Cabrejas Egea Raymond Zhang N. Walton 20 10 0 21 Apr 2021
Reinforcement Learning for Datacenter Congestion Control Chen Tessler Yuval Shpigelman Gal Dalal Amit Mandelbaum Doron Haritan Kazakov Benjamin Fuhrer Gal Chechik Shie Mannor 32 32 0 18 Feb 2021
Blackwell Approachability and Low-Regret Learning are Equivalent Jacob D. Abernethy Peter L. Bartlett Elad Hazan 78 114 0 08 Nov 2010