November 08, 2024 article Joint Deep Reinforcement Learning and Unfolding for Sensing and Communication Function Selection in Vehicular Networks IEEE Transactions on Vehicular Technology DOI: 10.1109/tvt.2024.3495536 OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 3 References 2 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Multi-Agent Reinforcement Learning Resources Allocation Method Using Dueling Double Deep Q-Network in Vehicular Networks 2023 IEEE Transactions on Vehicular Technology article Engineering Vehicular Ad Hoc Networks (VANETs) 88 citations Performance Analysis of a Time-sharing Joint Radar-Communications Network 2020 2012 International Conference on Computing, Networking and Communications (ICNC) conference-paper Engineering Radar Systems and Signal Processing 14 citations 2 results