Christian Daniel

发表

Learning modular policies for robotics

Jan Peters, Alexandros Paraschos, Christian Daniel, 2014, Front. Comput. Neurosci..

Learning sequential motor tasks

Oliver Kroemer, Jan Peters, Christian Daniel, 2013, 2013 IEEE International Conference on Robotics and Automation.

Active Reward Learning

Oliver Kroemer, Jan Peters, Christian Daniel, 2014, Robotics: Science and Systems.

Probabilistic inference for determining options in reinforcement learning

Jan Peters, Herke van Hoof, Christian Daniel, 2016, Machine Learning.

Learning concurrent motor skills in versatile solution spaces

Jan Peters, Christian Daniel, Gerhard Neumann, 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Hierarchical Relative Entropy Policy Search

Jan Peters, Christian Daniel, Gerhard Neumann, 2014, AISTATS.

Probabilistic Movement Primitives

Jan Peters, Alexandros Paraschos, Christian Daniel, 2013, NIPS.

Towards learning hierarchical skills for multi-phase manipulation tasks

Oliver Kroemer, Jan Peters, Herke van Hoof, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Reinforcement learning vs human programming in tetherball robot games

Jan Peters, Simone Parisi, Hany Abdulsamad, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Using probabilistic movement primitives in robotics

Jan Peters, Alexandros Paraschos, Christian Daniel, 2017, Autonomous Robots.

Hierarchical Learning of Motor Skills with Information-Theoretic Policy Search

Jan Peters, M. Deisenroth, G. Neumann, 2013 .

TRANSFER LEARNING IN BAYESIAN OPTIMIZATION

Lukas P. Fröhlich, F. Hutter, Christian Daniel, 2020 .

Using probabilistic movement primitives in robotics

Jan Peters, G. Neumann, Christian Daniel, 2017, Autonomous Robots.

Active reward learning with a novel acquisition function

Jan Peters, Christian Daniel, Oliver Kroemer, 2015, Autonomous Robots.

Autonomous reinforcement learning with hierarchical REPS

Jan Peters, Christian Daniel, Gerhard Neumann, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization pdf

Christian Daniel, Edgar D. Klenske, Melanie N. Zeilinger, 2020, AISTATS.

Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization

Lukas P. Fröhlich, F. Hutter, Christian Daniel, 2019, ICLR.

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

Edgar D. Klenske, Lukas P. Fröhlich, Christian Daniel, 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Meta-Learning Acquisition Functions for Bayesian Optimization pdf

Christian Daniel, Frank Hutter, Andreas Doerr, 2019, ArXiv.

Active reward learning with a novel acquisition function

Oliver Kroemer, Jan Peters, Christian Daniel, 2015, Auton. Robots.

Probabilistic Recurrent State-Space Models

Duy Nguyen-Tuong, Stefan Schaal, Christian Daniel, 2018, ICML.

Bayesian Context Aggregation for Neural Processes

Christian Daniel, Gerhard Neumann, Lukas Großberger, 2021, ICLR.

SOLO: Search Online, Learn Offline for Combinatorial Optimization Problems

Zohar Feldman, Christian Daniel, Joel Oren, 2021, SOCS.

Learning Step Size Controllers for Robust Neural Network Training

Sebastian Nowozin, Jonathan Taylor, Christian Daniel, 2016, AAAI.

Optimizing Long-term Predictions for Model-based Policy Search

Duy Nguyen-Tuong, Stefan Schaal, Christian Daniel, 2017, CoRL.

Supplementary Material for Probabilistic Recurrent State-Space Models

S. Schaal, Christian Daniel, Marc Toussaint, 2018 .

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

Christian Daniel, Philipp Hennig, Michael Tiemann, 2020, ICML.

Information-Theoretic Motor Skill Learning

Jan Peters, Gerhard Neumann, Marc Peter Deisenroth, 2013, AAAI 2013.

Accurate Bayesian Meta-Learning by Accurate Task Posterior Inference

G. Neumann, Christian Daniel, Michael Volpp, 2023, ICLR.

Trajectory-Based Off-Policy Deep Reinforcement Learning pdf

Marc Toussaint, Christian Daniel, Sebastian Trimpe, 2019, ICML.

SOLO: Search Online, Learn Offline for Combinatorial Optimization Problems

Dotan Di Castro, Christian Daniel, J. Oren, 2021, SOCS.

Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization

Lukas P. Fröhlich, F. Hutter, Christian Daniel, 2019, ICLR.