A review of multi-agent reinforcement learning for multi-UAV / Affaf Khadroune

Public ISBD Titre : A review of multi-agent reinforcement learning for multi-UAV Type de document : texte manuscrit Auteurs : Affaf Khadroune, Auteur ; Safa Mahboubi, Auteur ; Taher Bendouma, Directeur de thèse Editeur : Laghouat : Université Amar Telidji - Département d'informatique Année de publication : 2022 Importance : 102 p. Format : 27 cm. Accompagnement : 1 disque optique numérique (CD-ROM) Note générale : Option : Systems and computer science networks Langues : Anglais Mots-clés : UAVs  MARL  RL  swarm of UAVs  Machine learning (ML)  Artifcal intelligence (AI) Résumé : In recent years, single-agent Reinforcement Learning (RL)has achieved tremendous success in solving various sequential decision-making problems in machine learning. Some of these problems require more than one agent to resolve, so the notion Multi-agent Reinforcement Learning (MARL) has come to light. Unmanned Aerial Vehicle (UAV) technology became an attractive way to undertake several challenging applications, especially when Unmanned Aerial Vehicles (UAVs) form a swarm . One of the areas that sees great use of MARL is multi-UAV systems. In this work, we reviewed a number of articles that used these two concepts together MARL and swarm of UAVs.The objective is to minimize the search part for researchers who are more interested and educated in this feld . note de thèses : Mémoire de master en informatique A review of multi-agent reinforcement learning for multi-UAV [texte manuscrit] / Affaf Khadroune, Auteur ; Safa Mahboubi, Auteur ; Taher Bendouma, Directeur de thèse . - Laghouat : Université Amar Telidji - Département d'informatique, 2022 . - 102 p. ; 27 cm. + 1 disque optique numérique (CD-ROM). Option : Systems and computer science networks Langues : Anglais Mots-clés : UAVs  MARL  RL  swarm of UAVs  Machine learning (ML)  Artifcal intelligence (AI) Résumé : In recent years, single-agent Reinforcement Learning (RL)has achieved tremendous success in solving various sequential decision-making problems in machine learning. Some of these problems require more than one agent to resolve, so the notion Multi-agent Reinforcement Learning (MARL) has come to light. Unmanned Aerial Vehicle (UAV) technology became an attractive way to undertake several challenging applications, especially when Unmanned Aerial Vehicles (UAVs) form a swarm . One of the areas that sees great use of MARL is multi-UAV systems. In this work, we reviewed a number of articles that used these two concepts together MARL and swarm of UAVs.The objective is to minimize the search part for researchers who are more interested and educated in this feld . note de thèses : Mémoire de master en informatique

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