@inproceedings{6156a37a7c824cf4ad887c2e2c28d2c6,
title = "MQTPP - Towards Multiple Q-Table based Path Planning in UAV Environments",
abstract = "This paper introduces an original multi destination path planning approach for Unmanned Aerial Vehicles (UAVs) named MQTPP (Multi Q-Table Path Planning). MQTPP aims to reduce the computational burden of cyclical/continuous path planning through a Q-learning planning process whilst overcoming the fixed path origin problem. The preliminary performance evaluation results indicate that MQTPP performs well for longer paths, and allows for more efficient re-planning should mission objectives or environmental topography change.",
keywords = "UAVs, Path planning, Q-learning",
author = "Jones, {Michael R.} and Soufiene Djahel and Kristopher Welsh",
year = "2022",
month = feb,
day = "10",
doi = "10.1109/CCNC49033.2022.9700551",
language = "English",
isbn = "9781665431620",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "457--460",
booktitle = "2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC)",
address = "United States",
note = "2022 IEEE 19th Annual Consumer Communications & Networking Conference , CCNC ; Conference date: 08-01-2022 Through 11-01-2022",
}