Mixed Human-UAV Reinforcement Learning: Literature Review and Open Challenges

Nicolo’ Brandizzi, Damiano Brunori, Francesco Frattolillo, Alessandro Trapasso, Luca Iocchi

2022

Abstract

Unmanned Aerial Vehicles (UAVs) are becoming a popular solution for a plethora of tasks, ranging from supporting and extending communication to monitoring and exploring areas of interest. At the same time, Reinforcement Learning (RL) has become an excellent candidate technique to face complex scenarios where a model of the environment is not always available. Nevertheless, fully autonomous applications can have some drawbacks under certain unpredictable circumstances. Thus an active human element could facilitate handling such scenarios. All these things considered, and after an in-depth literature analysis, we focused on Mixed Human-UAV reinforcement learning applications that would benefit from introducing the human-in-the-loop component by pointing out their strengths, weakness, and new challenges.

Paper Citation

in Harvard Style

Brandizzi N., Brunori D., Frattolillo F., Trapasso A. and Iocchi L. (2022). Mixed Human-UAV Reinforcement Learning: Literature Review and Open Challenges. In Proceedings of the 1st International Conference on Cognitive Aircraft Systems - Volume 1: ICCAS; ISBN 978-989-758-657-6, SciTePress, pages 38-42. DOI: 10.5220/0011955100003622

in Bibtex Style

@conference{iccas22,
author={Nicolo’ Brandizzi and Damiano Brunori and Francesco Frattolillo and Alessandro Trapasso and Luca Iocchi},
title={Mixed Human-UAV Reinforcement Learning: Literature Review and Open Challenges},
booktitle={Proceedings of the 1st International Conference on Cognitive Aircraft Systems - Volume 1: ICCAS},
year={2022},
pages={38-42},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011955100003622},
isbn={978-989-758-657-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Cognitive Aircraft Systems - Volume 1: ICCAS
TI - Mixed Human-UAV Reinforcement Learning: Literature Review and Open Challenges
SN - 978-989-758-657-6
AU - Brandizzi N.
AU - Brunori D.
AU - Frattolillo F.
AU - Trapasso A.
AU - Iocchi L.
PY - 2022
SP - 38
EP - 42
DO - 10.5220/0011955100003622
PB - SciTePress