Trajectory Design for Unmanned Aerial Vehicles via Meta-Reinforcement Learning

Ziyang Lu, Xueyuan Wang, M. Cenk Gursoy

Research output: Chapter in Book/Entry/PoemConference contribution

1 Scopus citations

Abstract

This paper considers the trajectory design problem for unmanned aerial vehicles (UAVs) via meta-reinforcement learning. It is assumed that the UAV can move in different directions to explore a specific area and collect data from the ground nodes (GNs) located in the area. The goal of the UAV is to reach the destination and maximize the total data collected during the flight on the trajectory while avoiding collisions with other UAVs. In the literature on UAV trajectory designs, vanilla learning algorithms are typically used to train a task-specific model, and provide near-optimal solutions for a specific spatial distribution of the GNs. However, this approach requires retraining from scratch when the locations of the GNs vary. In this work, we propose a meta reinforcement learning framework that incorporates the method of Model-Agnostic Meta-Learning (MAML). Instead of training task-specific models, we train a common initialization for different distributions of GNs and different channel conditions. From the initialization, only a few gradient descents are required for adapting to different tasks with different GN distributions and channel conditions. Additionally, we also explore when the proposed MAML framework is preferred and can outperform the compared algorithms.

Original languageEnglish (US)
Title of host publicationIEEE INFOCOM 2023 - Conference on Computer Communications Workshops, INFOCOM WKSHPS 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665494274
DOIs
StatePublished - 2023
Externally publishedYes
Event2023 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2023 - Hoboken, United States
Duration: May 20 2023 → …

Publication series

NameIEEE INFOCOM 2023 - Conference on Computer Communications Workshops, INFOCOM WKSHPS 2023

Conference

Conference2023 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2023
Country/TerritoryUnited States
CityHoboken
Period5/20/23 → …

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing
  • Safety, Risk, Reliability and Quality

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