Harald Bayerlein

Comparison of a 2D- and 3D-Based Graphical User Interface for Localization Listening Tests

Michael Schoeffler, Susanne Westphal, Jürgen Herre, 2014 .

An Experiment about Estimating the Number of Instruments in Polyphonic Music: A Comparison Between Internet and Laboratory Results

Michael Schoeffler, Bernd Edler, Fabian-Robert Stöter, 2013, ISMIR.

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

David Gesbert, Marco Caccamo, Mirco Theile, 2020, ArXiv.

Trajectory Optimization for Autonomous Flying Base Station via Reinforcement Learning

Paul de Kerret, David Gesbert, Harald Bayerlein, 2018, 2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

Optimal trajectory of autonomous flying base stations via reinforcement learning

Harald Bayerlein, 2017 .

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

David Gesbert, Rajeev Gangula, Harald Bayerlein, 2018, 2018 52nd Asilomar Conference on Signals, Systems, and Computers.

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

David Gesbert, Marco Caccamo, Mirco Theile, 2020, ArXiv.

Multi-UAV Path Planning for Wireless Data Harvesting with Deep Reinforcement Learning pdf

David Gesbert, Marco Caccamo, Mirco Theile, 2020, ArXiv.

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

David Gesbert, Marco Caccamo, Mirco Theile, 2020, ArXiv.

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

David Gesbert, Omid Esrafilian, Harald Bayerlein, 2021, 2021 IEEE Global Communications Conference (GLOBECOM).

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

David Gesbert, Harald Bayerlein, Raphael Trumpp, 2021, ArXiv.

Multi-UAV Path Planning for Wireless Data Harvesting With Deep Reinforcement Learning

David Gesbert, Marco Caccamo, Mirco Theile, 2021, IEEE Open Journal of the Communications Society.