📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

A Reinforcement Learning Approach to Age of Information in Multi-User Networks with HARQ (2021)

First Author: Ceran E

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.48550/arxiv.2102.09774

Publication URI: https://arxiv.org/abs/2102.09774

Type: Preprint