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Multi-Agent Q-Learning in UAV Networks for Target Detection and Indoor Mapping

  • University of Bologna
  • National Research Council of Italy

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

We consider a network of unmanned aerial vehicles (UAVs) for a search-and-rescue operations involving both detection of multiple targets and mapping of environment, where the learning time is limited. One possibility for accomplishing the goal while guaranteeing short learning time is to employ cooperation among UAVs. With this objective, we adopt a multi-agent Q-learning algorithm that allows the UAVs to learn a suitable navigation policy in real-time in order to complete a mission within a fixed time frame. The obtained results demonstrate that proper combination of the information gathered by the UAVs allows for an accelerated learning process.

Original languageEnglish
Title of host publication2021 International Balkan Conference on Communications and Networking, BalkanCom 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages80-84
Number of pages5
ISBN (Electronic)9781665402583
DOIs
StatePublished - Sep 20 2021
Event4th International Balkan Conference on Communications and Networking, BalkanCom 2021 - Novi Sad, Serbia
Duration: Sep 20 2021Sep 22 2021

Publication series

Name2021 International Balkan Conference on Communications and Networking, BalkanCom 2021

Conference

Conference4th International Balkan Conference on Communications and Networking, BalkanCom 2021
Country/TerritorySerbia
CityNovi Sad
Period09/20/2109/22/21

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