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Gerhard Neumann
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Publications
- 2023
- [c105]Michael Volpp, Philipp Dahlinger, Philipp Becker, Christian Daniel, Gerhard Neumann:
Accurate Bayesian Meta-Learning by Accurate Task Posterior Inference. ICLR 2023 - 2021
- [c86]Michael Volpp, Fabian Flürenbrock, Lukas Großberger, Christian Daniel, Gerhard Neumann:
Bayesian Context Aggregation for Neural Processes. ICLR 2021 - 2018
- [j22]Alexandros Paraschos, Christian Daniel, Jan Peters, Gerhard Neumann:
Using probabilistic movement primitives in robotics. Auton. Robots 42(3): 529-551 (2018) - 2016
- [j9]Christian Daniel, Gerhard Neumann, Oliver Kroemer, Jan Peters:
Hierarchical Relative Entropy Policy Search. J. Mach. Learn. Res. 17: 93:1-93:50 (2016) - [j8]Christian Daniel, Herke van Hoof, Jan Peters, Gerhard Neumann:
Probabilistic inference for determining options in reinforcement learning. Mach. Learn. 104(2-3): 337-357 (2016) - 2015
- [c30]Oliver Kroemer, Christian Daniel, Gerhard Neumann, Herke van Hoof, Jan Peters:
Towards learning hierarchical skills for multi-phase manipulation tasks. ICRA 2015: 1503-1510 - 2014
- [j7]Gerhard Neumann, Christian Daniel, Alexandros Paraschos, Andras Gabor Kupcsik, Jan Peters:
Learning modular policies for robotics. Frontiers Comput. Neurosci. 8: 62 (2014) - 2013
- [c12]Christian Daniel, Gerhard Neumann, Oliver Kroemer, Jan Peters:
Learning sequential motor tasks. ICRA 2013: 2626-2632 - [c11]Christian Daniel, Gerhard Neumann, Jan Peters:
Autonomous reinforcement learning with hierarchical REPS. IJCNN 2013: 1-8 - [c10]Alexandros Paraschos, Christian Daniel, Jan Peters, Gerhard Neumann:
Probabilistic Movement Primitives. NIPS 2013: 2616-2624 - 2012
- [c7]Christian Daniel, Gerhard Neumann, Jan Peters:
Learning concurrent motor skills in versatile solution spaces. IROS 2012: 3591-3597 - [c6]Christian Daniel, Gerhard Neumann, Jan Peters:
Hierarchical Relative Entropy Policy Search. AISTATS 2012: 273-281
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