Harald Bayerlein

According to our database, Harald Bayerlein authored at least 12 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Learning to Recharge: UAV Coverage Path Planning through Deep Reinforcement Learning.

Mirco Theile, Harald Bayerlein, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli

CoRR, 2023

Model-Aided Federated Reinforcement Learning for Multi-UAV Trajectory Planning in IoT Networks.

Jichao Chen, Omid Esrafilian, Harald Bayerlein, David Gesbert, Marco Caccamo

Proceedings of the IEEE Globecom Workshops 2023, 2023

2022

Modeling Interactions of Autonomous Vehicles and Pedestrians with Deep Multi-Agent Reinforcement Learning for Collision Avoidance.

Raphael Trumpp, Harald Bayerlein, David Gesbert

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

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

PhD thesis, 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

UAV Path Planning using Global and Local Map Information with Deep Reinforcement Learning.

Mirco Theile, Harald Bayerlein, Richard Nai, David Gesbert, Marco Caccamo

Proceedings of the 20th International Conference on Advanced Robotics, 2021

Model-aided Deep Reinforcement Learning for Sample-efficient UAV Trajectory Design in IoT Networks.

Omid Esrafilian, Harald Bayerlein, David Gesbert

Proceedings of the IEEE Global Communications Conference, 2021

2020

UAV Coverage Path Planning under Varying Power Constraints using Deep Reinforcement Learning.

Mirco Theile, Harald Bayerlein, Richard Nai, David Gesbert, Marco Caccamo

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach.

Harald Bayerlein, Mirco Theile, Marco Caccamo, David Gesbert

Proceedings of the IEEE Global Communications Conference, 2020

2018

Trajectory Optimization for Autonomous Flying Base Station via Reinforcement Learning.

Harald Bayerlein, Paul de Kerret, David Gesbert

Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

Learning to Rest: A Q-Learning Approach to Flying Base Station Trajectory Design with Landing Spots.

Harald Bayerlein, Rajeev Gangula, David Gesbert

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2013

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

Proceedings of the 14th International Society for Music Information Retrieval Conference, 2013