Work

Multi-Agent Reinforcement Learning for Distributed Cooperative Vehicular Positioning

Year: 2024

Type: article

Source: IEEE Transactions on Intelligent Vehicles

DOI: 10.1109/tiv.2024.3471909

Authors: Bernardo Camajori Tedeschini, Mattia Brambilla, Monica Nicoli, Moe Z. Win

Institutions: Politecnico di Milano, Massachusetts Institute of Technology

Language: English

Topic: Vehicular Ad Hoc Networks (VANETs)

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: National Science Foundation

Award: RINGS: Resilient and Low-Latency Networks for Situation Awareness in the Factory of the Future

OpenAlex ID: W4402978140

FWCI: 0.308

Cites: 82

Cited by: 3

Related to: 10