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Harald Bayerlein
Harald Bayerlein
Потвърден имейл адрес: tum.de - Начална страница
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Trajectory Optimization for Autonomous Flying Base Station via Reinforcement Learning
H Bayerlein, P de Kerret, D Gesbert
IEEE International Workshop on Signal Processing Advances in Wireless …, 2018
1322018
Multi-UAV Path Planning for Wireless Data Harvesting with Deep Reinforcement Learning
H Bayerlein, M Theile, M Caccamo, D Gesbert
IEEE Open Journal of the Communications Society, 2021
1262021
UAV Coverage Path Planning under Varying Power Constraints using Deep Reinforcement Learning
M Theile, H Bayerlein, R Nai, D Gesbert, M Caccamo
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2020, 2020
1042020
UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach
H Bayerlein, M Theile, M Caccamo, D Gesbert
IEEE Global Communications Conference (GLOBECOM) 2020, 2020
702020
UAV Path Planning using Global and Local Map Information with Deep Reinforcement Learning
M Theile, H Bayerlein, R Nai, D Gesbert, M Caccamo
20th International Conference on Advanced Robotics (ICAR) 2021, 2020
522020
An Experiment about Estimating the Number of Instruments in Polyphonic Music: A Comparison Between Internet and Laboratory Results.
M Schoeffler, FR Stöter, H Bayerlein, B Edler, J Herre
14th International Society for Music Information Retrieval Conference (ISMIR …, 2013
342013
Learning to Rest: A Q-Learning Approach to Flying Base Station Trajectory Design with Landing Spots
H Bayerlein, R Gangula, D Gesbert
52nd Asilomar Conference on Signals, Systems and Computers 2018, 2018
182018
Modeling Interactions of Autonomous Vehicles and Pedestrians with Deep Multi-Agent Reinforcement Learning for Collision Avoidance
R Trumpp, H Bayerlein, D Gesbert
IEEE Intelligent Vehicles Symposium (IV) 2022, 2022
162022
Comparison of a 2D-and 3D-based Graphical User Interface for Localization Listening Tests
M Schoeffler, S Westphal, A Adami, H Bayerlein, J Herre
Proceedings of the EAA Joint Symposium on Auralization and Ambisonics 2014, 2014
162014
Model-aided Deep Reinforcement Learning for Sample-efficient UAV Trajectory Design in IoT Networks
O Esrafilian, H Bayerlein, D Gesbert
IEEE Global Communications Conference (GLOBECOM) 2021, 2021
72021
Learning to recharge: UAV coverage path planning through deep reinforcement learning
M Theile, H Bayerlein, M Caccamo, AL Sangiovanni-Vincentelli
arXiv preprint arXiv:2309.03157, 2023
32023
Model-aided Federated Reinforcement Learning for Multi-UAV Trajectory Planning in IoT Networks
J Chen, O Esrafilian, H Bayerlein, D Gesbert, M Caccamo
IEEE Global Communications Conference Workshops (GLOBECOM) 2023, 2023
12023
Modeling Interactions of Autonomous Vehicles and Pedestrians with Deep Multi-Agent Reinforcement Learning for Collision Avoidance
R Trumpp, H Bayerlein, D Gesbert
BMW-EURECOM-TUM 8th Summer School on Frontiers in Machine Intelligence, 2022
2022
Machine Learning Methods for UAV-aided Wireless Networks
H Bayerlein
Sorbonne Université, 2021
2021
Optimal Trajectory of Autonomous Flying Base Stations via Reinforcement Learning
H Bayerlein, P de Kerret, D Gesbert
1st TUM-EURECOM Workshop on Communications and Security, 2017
2017
ER-Force Team Description Paper for RoboCup 2014
H Bayerlein, A Danzer, M Eischer, A Hauck, M Hoffmann, P Kallwies, ...
RoboCup 2014, 2014
2014
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