Felix Wiebe, M.Sc.

Kontakt +49 421 17845 6566 (Bremen)

Adresse (Bremen) Robert-Hooke-Straße 1D-28359 Bremen

Publikationen

Reinforcement Learning for Athletic Intelligence: Lessons from the 1st "AI Olympics with RealAIGym" Competition
Felix Wiebe; Niccolò Turcato; Alberto Dalla Libera; Chi Zhang; Theo Vincent; Shubham Vyas; Giulio Giacomuzzo; Ruggero Carli; Diego Romeres; Akhil Sathuluri; Markus Zimmermann; Boris Belousov; Jan Peters; Frank Kirchner; Shivesh Kumar
In: Kate Larson (Hrsg.). Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI-24. International Joint Conference on Artificial Intelligence (IJCAI-2024), August 3-9, Jeju, Korea, Republic of, Pages 8833-8837, International Joint Conferences on Artificial Intelligence Organization, 8/2024.
Open Source Dual-Purpose Acrobot and Pendubot Platform: Benchmarking Control Algorithms for Underactuated Robotics
Felix Wiebe; Shivesh Kumar; Lasse Jenning Shala; Shubham Vyas; Mahdi Javadi; Frank Kirchner
In: IEEE Robotics & Automation Magazine, Vol. 31, No. 2, Pages 113-124, IEEE, 6/2024.
Quantum Deep Reinforcement Learning for Robot Navigation Tasks
Hans Hohenfeld; Dirk Heimann; Felix Wiebe; Frank Kirchner
In: IEEE Access (IEEE), Vol. n.n. Pages 1-1, IEEE, 6/2024.

QuMAL-KI
Quantenbeschleunigtes Multi-Agenten Lernen für langzeitautonome robotische Anwendungen
Im Forschungsvorhaben QuMAL-KI – Quantenbeschleunigtes Multi-Agenten Lernen für langzeitautonome Roboter – sollen zur Beschleunigung von Verfahren des Deep Reinforcement Learning für mehrere Agenten…