∘ |
Jichao Chen, Omid Esrafilian, Harald Bayerlein, David Gesbert, and Marco Caccamo,
"Model-aided Federated Reinforcement Learning for Multi-UAV Trajectory Planning in IoT Networks",
in IEEE Global Communications Conference (GLOBECOM),
Kuala Lumpur, Malaysia,
Dec 2023.
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Raphael Trumpp, Harald Bayerlein, David Gesbert,
"Modeling Interactions of Autonomous Vehicles and Pedestrians with Deep Multi-Agent Reinforcement Learning for Collision Avoidance",
in IEEE Intelligent Vehicles Symposium 2022,
Aachen, Germany,
Jun 2022.
|
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M. Theile, H. Bayerlein, R. Nai, D. Gesbert, M. Caccamo,
"UAV Path Planning using Global and Local Map Information with Deep Reinforcement Learning",
in 20th International Conference on Advanced Robotics (ICAR),
Ljubljana, Slovenia,
Dec 2021.
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∘ |
H. Bayerlein, M. Theile, M. Caccamo, and D. Gesbert,
"UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach",
in Proceedings of IEEE Global Communications Conference (GLOBECOM),
Taipei, Taiwan,
Dec 2020.
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∘ |
M. Theile, H. Bayerlein, R. Nai, D. Gesbert, and M. Caccamo,
"UAV Coverage Path Planning under Varying Power Constraints using Deep Reinforcement Learning",
in Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),
Las Vegas, Nevada, USA,
Oct 2020.
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