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Fabian Otto
Fabian Otto
Microsoft Research
Verified email at microsoft.com - Homepage
Title
Cited by
Cited by
Year
Differentiable Trust Region Layers for Deep Reinforcement Learning
F Otto, P Becker, NA Vien, HC Ziesche, G Neumann
International Conference for Learning Representations (ICLR), 2021
262021
ProDMP: A Unified Perspective on Dynamic and Probabilistic Movement Primitives
G Li, Z Jin, M Volpp, F Otto, R Lioutikov, G Neumann
IEEE Robotics and Automation Letters (RA-L) 8 (4), 2325-2332, 2023
232023
Reinforcement learning algorithms: analysis and applications
B Belousov, H Abdulsamad, P Klink, S Parisi, J Peters
Springer, 2021
232021
Deep Black-Box Reinforcement Learning with Movement Primitives
F Otto, O Celik, H Zhou, H Ziesche, NA Vien, G Neumann
6th Annual Conference on Robot Learning (CoRL), 2022
122022
Model-Free Deep Reinforcement Learning — Algorithms and Applications
F Otto
Reinforcement Learning Algorithms: Analysis and Applications, 109-121, 2021
112021
MP3: Movement Primitive-Based (Re-) Planning Policy
F Otto, H Zhou, O Celik, G Li, R Lioutikov, G Neumann
CoRL 2023 Workshop on Learning Effective Abstractions for Planning (LEAP), 2023
42023
Reinforcement Learning from Multiple Sensors via Joint Representations
P Becker, S Markgraf, F Otto, G Neumann
arXiv e-prints, arXiv: 2302.05342, 2023
22023
Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning
G Li, H Zhou, D Roth, S Thilges, F Otto, R Lioutikov, G Neumann
arXiv preprint arXiv:2401.11437, 2024
12024
Stable Optimization of Gaussian Likelihoods
D Megerle, F Otto, M Volpp, G Neumann
12022
Device and method for controlling a robotic device
F Otto
US Patent App. 17/447,553, 2022
12022
Vlearn: Off-Policy Learning with Efficient State-Value Function Estimation
F Otto, P Becker, VA Ngo, G Neumann
arXiv preprint arXiv:2403.04453, 2024
2024
Method for controlling a technical system
F Otto, G Neumann
US Patent App. 18/356,088, 2024
2024
Method for training a control policy for controlling a technical system
F Otto, G Neumann, AV Ngo, H Ziesche
US Patent App. 18/360,071, 2024
2024
Joint Representations for Reinforcement Learning with Multiple Sensors
P Becker, S Markgraf, F Otto, G Neumann
arXiv preprint arXiv:2302.05342, 2023
2023
Latent Space Exploration and Trajectory Space Update in Temporally-Correlated Episodic Reinforcement Learning
G Li, H Zhou, D Roth, S Thilges, F Otto, R Lioutikov, G Neumann
ICRA 2024 Workshop {\textemdash} Back to the Future: Robot Learning Going …, 0
Air Hockey Challenge 2023: Air-HocKIT Team Report
MEBV de Bakker3Atalay, DÖE Yagmurlu, MFZJD Yang, H Zhou, X Jia, ...
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