Harald Bayerlein

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 17

Top Topics

Collision Avoidance

Reinforcement Learning

Autonomous Vehicles

Top Venues

GLOBECOM (Workshops)

Publications

Jichao Chen, Omid Esrafilian, Harald Bayerlein, David Gesbert, Marco Caccamo
Model-Aided Federated Reinforcement Learning for Multi-UAV Trajectory Planning in IoT Networks. GLOBECOM (Workshops) (2023)
Mirco Theile, Harald Bayerlein, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli
Learning to Recharge: UAV Coverage Path Planning through Deep Reinforcement Learning. CoRR (2023)
Jichao Chen, Omid Esrafilian, Harald Bayerlein, David Gesbert, Marco Caccamo
Model-aided Federated Reinforcement Learning for Multi-UAV Trajectory Planning in IoT Networks. CoRR (2023)
Raphael Trumpp, Harald Bayerlein, David Gesbert
Modeling Interactions of Autonomous Vehicles and Pedestrians with Deep Multi-Agent Reinforcement Learning for Collision Avoidance. IV (2022)
Harald Bayerlein, Mirco Theile, Marco Caccamo, David Gesbert
Multi-UAV Path Planning for Wireless Data Harvesting With Deep Reinforcement Learning. IEEE Open J. Commun. Soc. 2 (2021)
Mirco Theile, Harald Bayerlein, Richard Nai, David Gesbert, Marco Caccamo
UAV Path Planning using Global and Local Map Information with Deep Reinforcement Learning. ICAR (2021)
Raphael Trumpp, Harald Bayerlein, David Gesbert
Modeling Interactions of Autonomous Vehicles and Pedestrians with Deep Multi-Agent Reinforcement Learning for Collision Avoidance. CoRR (2021)
Omid Esrafilian, Harald Bayerlein, David Gesbert
Model-aided Deep Reinforcement Learning for Sample-efficient UAV Trajectory Design in IoT Networks. CoRR (2021)
Omid Esrafilian, Harald Bayerlein, David Gesbert
Model-aided Deep Reinforcement Learning for Sample-efficient UAV Trajectory Design in IoT Networks. GLOBECOM (2021)
Harald Bayerlein, Mirco Theile, Marco Caccamo, David Gesbert
UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach. GLOBECOM (2020)
Harald Bayerlein, Mirco Theile, Marco Caccamo, David Gesbert
Multi-UAV Path Planning for Wireless Data Harvesting with Deep Reinforcement Learning. CoRR (2020)
Harald Bayerlein, Mirco Theile, Marco Caccamo, David Gesbert
UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach. CoRR (2020)
Mirco Theile, Harald Bayerlein, Richard Nai, David Gesbert, Marco Caccamo
UAV Path Planning using Global and Local Map Information with Deep Reinforcement Learning. CoRR (2020)
Mirco Theile, Harald Bayerlein, Richard Nai, David Gesbert, Marco Caccamo
UAV Coverage Path Planning under Varying Power Constraints using Deep Reinforcement Learning. CoRR (2020)
Mirco Theile, Harald Bayerlein, Richard Nai, David Gesbert, Marco Caccamo
UAV Coverage Path Planning under Varying Power Constraints using Deep Reinforcement Learning. IROS (2020)
Harald Bayerlein, Rajeev Gangula, David Gesbert
Learning to Rest: A Q-Learning Approach to Flying Base Station Trajectory Design with Landing Spots. ACSSC (2018)
Harald Bayerlein, Paul de Kerret, David Gesbert
Trajectory Optimization for Autonomous Flying Base Station via Reinforcement Learning. SPAWC (2018)
Michael Schoeffler, Fabian-Robert Stöter, Harald Bayerlein, Bernd Edler, Jürgen Herre
An Experiment about Estimating the Number of Instruments in Polyphonic Music: A Comparison Between Internet and Laboratory Results. ISMIR (2013)