Work

Average Reward Reinforcement Learning for Wireless Radio Resource Management

Year: 2024

Type: conference-paper

Source: 2018 52nd Asilomar Conference on Signals, Systems, and Computers

DOI: 10.1109/ieeeconf60004.2024.10942648

Authors: Kun Yang, Jing Yang, Cong Shen

Institutions: University of Virginia, Pennsylvania State University

Language: English

Topic: Advanced Wireless Network Optimization

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funder: National Science Foundation

Award: Collaborative Research: MLWiNS: Dino-RL: A Domain Knowledge Enriched Reinforcement Learning Framework for Wireless Network Optimization

OpenAlex ID: W4409156911

FWCI: 0.779

Cites: 22

Cited by: 1

Related to: 10