Architecture for Developing Intelligent Systems in Urban Transport and Traffic Scenarios

Development of agents using Reinforcement Learning techniques in scenarios involving autonomous vehicles.

Role:
Volunteer Researcher · UTFPR (Federal University of Technology – Paraná)
Period:
Oct 2023 – Apr 2024
Advisors:
Gleifer Vaz Alves
Reinforcement Learning Autonomous Vehicles Multi-Agent Systems

About the research

This project was part of a broader research line at UTFPR on architectures for intelligent systems in urban transport and traffic. My work focused on developing agents that use Reinforcement Learning techniques to make decisions in scenarios involving autonomous vehicles, such as navigating urban intersections.

Related publications

  • 2026

    Using Reinforcement Learning Techniques for Autonomous Vehicles Navigation in Urban Intersections

    Felipe Merenda Izidorio, Gleifer Vaz Alves

    Proceedings of the 18th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART

    DOI
  • 2024

    Implementação de Agentes com Técnicas de Aprendizagem por Reforço

    Felipe Merenda Izidorio, Gleifer Vaz Alves

    Anais do XIV Seminário de Extensão e Inovação \& XXIX Seminário de Iniciação Científica e Tecnológica da UTFPR (SEI/SICITE)

  • 2024

    Agentes BDI e Aprendizagem: um mapeamento sistemático e utilização com a biblioteca MASPY

    Felipe Izidorio, Alexandre Mellado, André Borges, Gleifer Alves

    Anais do XVIII Workshop-Escola de Sistemas de Agentes, seus Ambientes e Aplicações

    DOI
  • 2023

    Geração De Regras De Associação Em Dados De Acidentes Envolvendo Veículos Autônomos

    Felipe Merenda Izidorio, André Pinz Borges, Gleifer Vaz Alves

    Anais do WPCCG

    DOI