Christian Daniel

According to our database, Christian Daniel authored at least 28 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Accurate Bayesian Meta-Learning by Accurate Task Posterior Inference.

Michael Volpp, Philipp Dahlinger, Philipp Becker, Christian Daniel, Gerhard Neumann

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

SOLO: Search Online, Learn Offline for Combinatorial Optimization Problems.

Joel Oren, Chana Ross, Maksym Lefarov, Felix Richter, Ayal Taitler, Zohar Feldman, Dotan Di Castro, Christian Daniel

Proceedings of the Fourteenth International Symposium on Combinatorial Search, 2021

Bayesian Context Aggregation for Neural Processes.

Michael Volpp, Fabian Flürenbrock, Lukas Großberger, Christian Daniel, Gerhard Neumann

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Differentiable Likelihoods for Fast Inversion of 'Likelihood-Free' Dynamical Systems.

Hans Kersting, Nicholas Krämer, Martin Schiegg, Christian Daniel, Michael Tiemann, Philipp Hennig

Proceedings of the 37th International Conference on Machine Learning, 2020

Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization.

Michael Volpp, Lukas P. Fröhlich, Kirsten Fischer, Andreas Doerr, Stefan Falkner, Frank Hutter, Christian Daniel

Proceedings of the 8th International Conference on Learning Representations, 2020

Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization.

Lukas P. Fröhlich, Edgar D. Klenske, Julia Vinogradska, Christian Daniel, Melanie N. Zeilinger

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Meta-Learning Acquisition Functions for Bayesian Optimization.

Michael Volpp, Lukas P. Fröhlich, Andreas Doerr, Frank Hutter, Christian Daniel

CoRR, 2019

Bayesian Optimization for Policy Search in High-Dimensional Systems via Automatic Domain Selection.

Lukas P. Fröhlich, Edgar D. Klenske, Christian G. Daniel, Melanie N. Zeilinger

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Trajectory-Based Off-Policy Deep Reinforcement Learning.

Andreas Doerr, Michael Volpp, Marc Toussaint, Sebastian Trimpe, Christian Daniel

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Using probabilistic movement primitives in robotics.

Alexandros Paraschos, Christian Daniel, Jan Peters, Gerhard Neumann

Auton. Robots, 2018

Probabilistic Recurrent State-Space Models.

Andreas Doerr, Christian Daniel, Martin Schiegg, Duy Nguyen-Tuong, Stefan Schaal, Marc Toussaint, Sebastian Trimpe

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Optimizing Long-term Predictions for Model-based Policy Search.

Andreas Doerr, Christian Daniel, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Marc Toussaint, Sebastian Trimpe

Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

2016

Learning hierarchical policies from human ratings.

Christian Daniel

PhD thesis, 2016

Probabilistic inference for determining options in reinforcement learning.

Christian Daniel, Herke van Hoof, Jan Peters, Gerhard Neumann

Mach. Learn., 2016

Hierarchical Relative Entropy Policy Search.

Christian Daniel, Gerhard Neumann, Oliver Kroemer, Jan Peters

J. Mach. Learn. Res., 2016

Real-time extension of ROS based on a network of modular blocks for highly precise motion generation.

Christian Scheifele, Armin Lechler, Christian Daniel, Weiliang Xu

Proceedings of the IEEE 14th International Workshop on Advanced Motion Control, 2016

Learning Step Size Controllers for Robust Neural Network Training.

Christian Daniel, Jonathan Taylor, Sebastian Nowozin

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Active reward learning with a novel acquisition function.

Christian Daniel, Oliver Kroemer, Malte Viering, Jan Metz, Jan Peters

Auton. Robots, 2015

Reinforcement learning vs human programming in tetherball robot games.

Simone Parisi, Hany Abdulsamad, Alexandros Paraschos, Christian Daniel, Jan Peters

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Towards learning hierarchical skills for multi-phase manipulation tasks.

Oliver Kroemer, Christian Daniel, Gerhard Neumann, Herke van Hoof, Jan Peters

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014

Learning modular policies for robotics.

Gerhard Neumann, Christian Daniel, Alexandros Paraschos, Andras Gabor Kupcsik, Jan Peters

Frontiers Comput. Neurosci., 2014

Active Reward Learning.

Christian Daniel, Malte Viering, Jan Metz, Oliver Kroemer, Jan Peters

Proceedings of the Robotics: Science and Systems X, 2014

2013

Probabilistic Movement Primitives.

Alexandros Paraschos, Christian Daniel, Jan Peters, Gerhard Neumann

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Autonomous reinforcement learning with hierarchical REPS.

Christian Daniel, Gerhard Neumann, Jan Peters

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Learning sequential motor tasks.

Christian Daniel, Gerhard Neumann, Oliver Kroemer, Jan Peters

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

2012

Hierarchical Relative Entropy Policy Search.

Christian Daniel, Gerhard Neumann, Jan Peters

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Learning concurrent motor skills in versatile solution spaces.

Christian Daniel, Gerhard Neumann, Jan Peters

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

2010

Iterative SLE Solvers over a CPU-GPU Platform.

Alécio Pedro Delazari Binotto, Christian Daniel, Daniel Weber, Arjan Kuijper, André Stork, Carlos Eduardo Pereira, Dieter W. Fellner

Proceedings of the 12th IEEE International Conference on High Performance Computing and Communications, 2010