An Experiment about Estimating the Number of Instruments in Polyphonic Music: A Comparison Between Internet and Laboratory Results. - Michael Schoeffler; Fabian-Robert Stöter; Harald Bayerlein; Bernd Edler; Jürgen Herre (ISMIR, 2013)

Learning to Rest: A Q-Learning Approach to Flying Base Station Trajectory Design with Landing Spots. - Harald Bayerlein; Rajeev Gangula; David Gesbert (ACSSC, 2018)

Trajectory Optimization for Autonomous Flying Base Station via Reinforcement Learning. - Harald Bayerlein; Paul de Kerret; David Gesbert (SPAWC, 2018)

UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach. - Harald Bayerlein; Mirco Theile; Marco Caccamo; David Gesbert (GLOBECOM, 2020)

UAV Coverage Path Planning under Varying Power Constraints using Deep Reinforcement Learning. - Mirco Theile; Harald Bayerlein; Richard Nai; David Gesbert; Marco Caccamo (IROS, 2020)

Model-aided Deep Reinforcement Learning for Sample-efficient UAV Trajectory Design in IoT Networks. - Omid Esrafilian; Harald Bayerlein; David Gesbert (GLOBECOM, 2021)

UAV Path Planning using Global and Local Map Information with Deep Reinforcement Learning. - Mirco Theile; Harald Bayerlein; Richard Nai; David Gesbert; Marco Caccamo (ICAR, 2021)

Multi-UAV Path Planning for Wireless Data Harvesting With Deep Reinforcement Learning. - Harald Bayerlein; Mirco Theile; Marco Caccamo; David Gesbert (IEEE Open J. Commun. Soc., 2021)

Machine Learning Methods for UAV-aided Wireless Networks. (Méthodes d'apprentissage automatique pour l'utilisation des drones dans les réseaux sans-fil). - Harald Bayerlein (2021)

Modeling Interactions of Autonomous Vehicles and Pedestrians with Deep Multi-Agent Reinforcement Learning for Collision Avoidance. - Raphael Trumpp; Harald Bayerlein; David Gesbert (IV, 2022)

Model-Aided Federated Reinforcement Learning for Multi-UAV Trajectory Planning in IoT Networks. - Jichao Chen; Omid Esrafilian; Harald Bayerlein; David Gesbert; Marco Caccamo (GLOBECOM (Workshops), 2023)

Learning to Recharge: UAV Coverage Path Planning through Deep Reinforcement Learning. - Mirco Theile; Harald Bayerlein; Marco Caccamo; Alberto L. Sangiovanni-Vincentelli (CoRR, 2023)