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Authors: Jan Dohmen ; Roman Liessner ; Christoph Friebel and Bernard Bäker

Affiliation: Dresden Institute of Automobile Engineering, TU Dresden, George-Bähr-Straße 1c, 01069 Dresden, Germany

Keyword(s): Reinforcement Learning, Artificial Intelligence, Deep Learning, Machine Learning, Autonomous Driving, Longitudinal Control, OpenAI Gym.

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.

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Paper citation in several formats:
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; ISSN 2184-433X, SciTePress, pages 1030-1037. DOI: 10.5220/0010305210301037

@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},
issn={2184-433X},
}

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
IS - 2184-433X
AU - Dohmen, J.
AU - Liessner, R.
AU - Friebel, C.
AU - Bäker, B.
PY - 2021
SP - 1030
EP - 1037
DO - 10.5220/0010305210301037
PB - SciTePress

- Science and Technology Publications, Lda.
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