Christian Daniel
Christian Daniel
Bosch Center for AI
Verified email at ias.tu-darmstadt.de
TitleCited byYear
Probabilistic movement primitives
A Paraschos, C Daniel, JR Peters, G Neumann
Advances in neural information processing systems, 2616-2624, 2013
1932013
Hierarchical Relative Entropy Policy Search
C Daniel, G Neumann, J Peters
129*
Towards learning hierarchical skills for multi-phase manipulation tasks
O Kroemer, C Daniel, G Neumann, H Van Hoof, J Peters
2015 IEEE International Conference on Robotics and Automation (ICRA), 1503-1510, 2015
552015
Active Reward Learning.
C Daniel, M Viering, J Metz, O Kroemer, J Peters
Robotics: Science and systems, 2014
462014
Probabilistic inference for determining options in reinforcement learning
C Daniel, H Van Hoof, J Peters, G Neumann
Machine Learning 104 (2-3), 337-357, 2016
412016
Learning concurrent motor skills in versatile solution spaces
C Daniel, G Neumann, J Peters
2012 IEEE/RSJ International Conference on Intelligent Robots and Systemsá…, 2012
392012
Learning sequential motor tasks
C Daniel, G Neumann, O Kroemer, J Peters
2013 IEEE International Conference on Robotics and Automation, 2626-2632, 2013
352013
Learning step size controllers for robust neural network training
C Daniel, J Taylor, S Nowozin
Thirtieth AAAI Conference on Artificial Intelligence, 2016
322016
Active reward learning with a novel acquisition function
C Daniel, O Kroemer, M Viering, J Metz, J Peters
Autonomous Robots 39 (3), 389-405, 2015
152015
Learning modular policies for robotics
G Neumann, C Daniel, A Paraschos, A Kupcsik, J Peters
Frontiers in computational neuroscience 8, 62, 2014
152014
Probabilistic recurrent state-space models
A Doerr, C Daniel, M Schiegg, D Nguyen-Tuong, S Schaal, M Toussaint, ...
arXiv preprint arXiv:1801.10395, 2018
142018
Iterative sle solvers over a cpu-gpu platform
APD Binotto, C Daniel, D Weber, A Kuijper, A Stork, C Pereira, D Fellner
2010 IEEE 12th International Conference on High Performance Computing andá…, 2010
142010
Optimizing long-term predictions for model-based policy search
A Doerr, C Daniel, D Nguyen-Tuong, A Marco, S Schaal, T Marc, S Trimpe
Conference on Robot Learning, 227-238, 2017
122017
Using probabilistic movement primitives in robotics
A Paraschos, C Daniel, J Peters, G Neumann
Autonomous Robots 42 (3), 529-551, 2018
92018
Information-theoretic motor skill learning
G Neumann, C Daniel, A Kupcsik, M Deisenroth, J Peters
Workshops at the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013
82013
Reinforcement learning vs human programming in tetherball robot games
S Parisi, H Abdulsamad, A Paraschos, C Daniel, J Peters
2015 IEEE/RSJ International Conference on Intelligent Robots and Systemsá…, 2015
62015
Autonomous reinforcement learning with hierarchical REPS
C Daniel, G Neumann, J Peters
The 2013 International Joint Conference on Neural Networks (IJCNN), 1-8, 2013
42013
Meta-Learning Acquisition Functions for Bayesian Optimization
M Volpp, L Fr÷hlich, A Doerr, F Hutter, C Daniel
arXiv preprint arXiv:1904.02642, 2019
12019
Trajectory-Based Off-Policy Deep Reinforcement Learning
A Doerr, M Volpp, M Toussaint, S Trimpe, C Daniel
arXiv preprint arXiv:1905.05710, 2019
2019
Learning Hierarchical Policies from Human Feedback
C Daniel
Technische Universitńt Darmstadt, 2016
2016
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Articles 1–20