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Robust Power Management via Learning and Game Design

Published:2021-01 Issue:1 Volume:69 Page:331-345
ISSN:0030-364X
Container-title:Operations Research
language:en
Short-container-title:Operations Research

Author:

Zhou Zhengyuan¹^ORCID,Mertikopoulos Panayotis²^ORCID,Moustakas Aris L.³,Bambos Nicholas⁴,Glynn Peter⁴

Affiliation:

1. Department of Technology, Operations, and Statistics, Stern School of Business, New York University, New York, New York 10012;

2. University Grenoble Alpes, CNRS, Grenoble INP, Inria, LIG, F-38000 Grenoble, France;

3. Department of Physics, University of Athens, Athens, Greece;

4. Department of Management Science and Engineering, Stanford University, Stanford, California 94305

Abstract

Descending to Stability: Robust Power Control for Stochastic Wireless Networks

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Management Science and Operations Research,Computer Science Applications

Reference49 articles.

1. A power control game based on outage probabilities for multicell wireless data networks

2. Optimal monotone forwarding policies in delay tolerant mobile ad-hoc networks

3. Stability of the Gradient Process in n-Person Games

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1. Adaptive, Doubly Optimal No-Regret Learning in Strongly Monotone and Exp-Concave Games with Gradient Feedback;Operations Research;2024-05-23

2. Learning the Optimal Control for Evolving Systems with Converging Dynamics;Proceedings of the ACM on Measurement and Analysis of Computing Systems;2024-05-21

3. Acceleration model of online educational games based on improved ensemble ML algorithm;Entertainment Computing;2024-05

4. Mean-Field Multiagent Reinforcement Learning: A Decentralized Network Approach;Mathematics of Operations Research;2024-03-13

5. Admission Control for Games with a Dynamic Set of Players;2023 62nd IEEE Conference on Decision and Control (CDC);2023-12-13

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