Harald Bayerlein

19 papers A 1B 2C 1Misc 1Journal 9Unranked 4
YearRankTypeTitle / Venue / Authors
2023 J jnl
Learning to Recharge: UAV Coverage Path Planning through Deep Reinforcement Learning.
CoRR
Mirco Theile, Harald Bayerlein, Marco Caccamo, Alberto L. Sangiovanni-Vincentelli
2023 — conf
Model-Aided Federated Reinforcement Learning for Multi-UAV Trajectory Planning in IoT Networks.
GLOBECOM (Workshops)
Jichao Chen, Omid Esrafilian, Harald Bayerlein, David Gesbert, Marco Caccamo
2023 J jnl
Model-aided Federated Reinforcement Learning for Multi-UAV Trajectory Planning in IoT Networks.
CoRR
Jichao Chen, Omid Esrafilian, Harald Bayerlein, David Gesbert, Marco Caccamo
2022 C conf
Modeling Interactions of Autonomous Vehicles and Pedestrians with Deep Multi-Agent Reinforcement Learning for Collision Avoidance.
IV
Raphael Trumpp, Harald Bayerlein, David Gesbert
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 B conf
Model-aided Deep Reinforcement Learning for Sample-efficient UAV Trajectory Design in IoT Networks.
GLOBECOM
Omid Esrafilian, Harald Bayerlein, David Gesbert
2021 J jnl
Model-aided Deep Reinforcement Learning for Sample-efficient UAV Trajectory Design in IoT Networks.
CoRR
Omid Esrafilian, Harald Bayerlein, David Gesbert
2021 J jnl
Modeling Interactions of Autonomous Vehicles and Pedestrians with Deep Multi-Agent Reinforcement Learning for Collision Avoidance.
CoRR
Raphael Trumpp, Harald Bayerlein, David Gesbert
2021 J jnl
Multi-UAV Path Planning for Wireless Data Harvesting With Deep Reinforcement Learning.
IEEE Open J. Commun. Soc.
Harald Bayerlein, Mirco Theile, Marco Caccamo, David Gesbert
2021 — conf
UAV Path Planning using Global and Local Map Information with Deep Reinforcement Learning.
ICAR
Mirco Theile, Harald Bayerlein, Richard Nai, David Gesbert, Marco Caccamo
2020 J jnl
Multi-UAV Path Planning for Wireless Data Harvesting with Deep Reinforcement Learning.
CoRR
Harald Bayerlein, Mirco Theile, Marco Caccamo, David Gesbert
2020 A conf
UAV Coverage Path Planning under Varying Power Constraints using Deep Reinforcement Learning.
IROS
Mirco Theile, Harald Bayerlein, Richard Nai, David Gesbert, Marco Caccamo
2020 J jnl
UAV Coverage Path Planning under Varying Power Constraints using Deep Reinforcement Learning.
CoRR
Mirco Theile, Harald Bayerlein, Richard Nai, David Gesbert, Marco Caccamo
2020 B conf
UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach.
GLOBECOM
Harald Bayerlein, Mirco Theile, Marco Caccamo, David Gesbert
2020 J jnl
UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach.
CoRR
Harald Bayerlein, Mirco Theile, Marco Caccamo, David Gesbert
2020 J jnl
UAV Path Planning using Global and Local Map Information with Deep Reinforcement Learning.
CoRR
Mirco Theile, Harald Bayerlein, Richard Nai, David Gesbert, Marco Caccamo
2018 Misc conf
Learning to Rest: A Q-Learning Approach to Flying Base Station Trajectory Design with Landing Spots.
ACSSC
Harald Bayerlein, Rajeev Gangula, David Gesbert
2018 — conf
Trajectory Optimization for Autonomous Flying Base Station via Reinforcement Learning.
SPAWC
Harald Bayerlein, Paul de Kerret, David Gesbert
2013 — conf
An Experiment about Estimating the Number of Instruments in Polyphonic Music: A Comparison Between Internet and Laboratory Results.
ISMIR
Michael Schoeffler, Fabian-Robert Stöter, Harald Bayerlein, Bernd Edler, Jürgen Herre