LongiControl: A Reinforcement Learning Environment for Longitudinal Vehicle Control

Jan Dohmen, Roman Liessner, Christoph Friebel, Bernard Bäker

2021

Abstract

Reinforcement Learning (RL) might be very promising for solving a variety of challenges in the field of autonomous driving due to its ability to find long-term oriented solutions in complex decision scenarios. For training and validation of a RL algorithm, a simulative environment is advantageous due to risk reduction and saving of resources. This contribution presents an RL environment designed for the optimization of longitudinal control. The focus is on providing an illustrative and comprehensible example for a continuous real-world problem. The environment will be published following the OpenAI Gym interface, allowing for easy testing and comparing of novel RL algorithms. In addition to details on implementation reference is also made to areas where research is required.

Paper Citation

in Harvard Style

Dohmen J., Liessner R., Friebel C. and Bäker B. (2021). LongiControl: A Reinforcement Learning Environment for Longitudinal Vehicle Control.In Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-484-8, pages 1030-1037. DOI: 10.5220/0010305210301037

in Bibtex Style

@conference{icaart21,
author={Jan Dohmen and Roman Liessner and Christoph Friebel and Bernard Bäker},
title={LongiControl: A Reinforcement Learning Environment for Longitudinal Vehicle Control},
booktitle={Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2021},
pages={1030-1037},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010305210301037},
isbn={978-989-758-484-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - LongiControl: A Reinforcement Learning Environment for Longitudinal Vehicle Control
SN - 978-989-758-484-8
AU - Dohmen J.
AU - Liessner R.
AU - Friebel C.
AU - Bäker B.
PY - 2021
SP - 1030
EP - 1037
DO - 10.5220/0010305210301037