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[null,"1.","Record Nr.",null,"UNINA9911006720403321"]
[null,null,"Autore",null,"Masaracchia Antonino"]
[null,null,"Titolo",null,"Deep Reinforcement Learning for Reconfigurable Intelligent Surfaces and UAV Empowered Smart 6G Communications"]
[null,null,"Pubbl/distr/stampa",null,"Stevenage : , : Institution of Engineering & Technology, , 2024"]
[{"$nulls":4},"©2025"]
[null,null,"ISBN",null,"1-83724-384-0"]
[{"$nulls":4},"1-83953-642-X"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (270 pages)"]
[null,null,"Collana",null,"Telecommunications Series"]
[null,null,"Disciplina",null,"621.38456"]
[null,null,"Soggetti",null,"6G mobile communication systems"]
[{"$nulls":4},"Artificial intelligence"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Contents -- Preface -- About the authors -- Part I. Introduction to machine learning and neural networks --   1. Artificial intelligence, machine learning, and deep learning --   2. Deep neural networks -- Part II. Deep reinforcement learning --   3. Markov decision process --   4. Value function approximation for continuous state-action space --   5. Policy search methods for reinforcement learning --   6. Actor-critic learning -- Part III. Deep reinforcement learning in UAV-assisted 6G communication --   7. UAV-assisted 6G communications --   8. Distributed deep deterministic policy gradient for power allocation control in UAV-to-UAV-based communications --   9. Non-cooperative energy-efficient power allocation game in UAV-to-UAV communication: a multi-agent deep reinforcement learning approach --   10. Real-time energy harvesting-aided scheduling in UAV-assisted D2D networks --   11. 3D trajectory design and data collection in UAV-assisted networks -- Part IV. Deep reinforcement learning in reconfigurable intelligent surface-empowered 6G communications --   12. RIS-assisted 6G communications --   13. Real-time optimisation in RIS-assisted D2D communications --   14. RIS-assisted UAV communications for IoT with wireless power transfer using deep reinforcement learning --   15. Multi-agent learning in networks supported by RIS and multi-UAVs -- Index"]
[null,null,null,"Sommario/riassunto","This co-authored book explores the many challenges arising from real-time and autonomous decision-making for 6G by covering crucial "]
[{"$nulls":4},"advanced signal control and real-time decision-making methods for UAV- and RIS-assisted 6G wireless communications including the serious constraints in real-time optimisation problems."]