Christian Daniel

According to our database1, Christian Daniel authored at least 28 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Accurate Bayesian Meta-Learning by Accurate Task Posterior Inference.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021
SOLO: Search Online, Learn Offline for Combinatorial Optimization Problems.
Proceedings of the Fourteenth International Symposium on Combinatorial Search, 2021

Bayesian Context Aggregation for Neural Processes.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Differentiable Likelihoods for Fast Inversion of 'Likelihood-Free' Dynamical Systems.
Proceedings of the 37th International Conference on Machine Learning, 2020

Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization.
Proceedings of the 8th International Conference on Learning Representations, 2020

Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Meta-Learning Acquisition Functions for Bayesian Optimization.
CoRR, 2019

Bayesian Optimization for Policy Search in High-Dimensional Systems via Automatic Domain Selection.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Trajectory-Based Off-Policy Deep Reinforcement Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Using probabilistic movement primitives in robotics.
Auton. Robots, 2018

Probabilistic Recurrent State-Space Models.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Optimizing Long-term Predictions for Model-based Policy Search.
Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

2016
Learning hierarchical policies from human ratings.
PhD thesis, 2016

Probabilistic inference for determining options in reinforcement learning.
Mach. Learn., 2016

Hierarchical Relative Entropy Policy Search.
J. Mach. Learn. Res., 2016

Real-time extension of ROS based on a network of modular blocks for highly precise motion generation.
Proceedings of the IEEE 14th International Workshop on Advanced Motion Control, 2016

Learning Step Size Controllers for Robust Neural Network Training.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Active reward learning with a novel acquisition function.
Auton. Robots, 2015

Reinforcement learning vs human programming in tetherball robot games.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Towards learning hierarchical skills for multi-phase manipulation tasks.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014
Learning modular policies for robotics.
Frontiers Comput. Neurosci., 2014

Active Reward Learning.
Proceedings of the Robotics: Science and Systems X, 2014

2013
Probabilistic Movement Primitives.
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.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Learning sequential motor tasks.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

2012
Hierarchical Relative Entropy Policy Search.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Learning concurrent motor skills in versatile solution spaces.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

2010
Iterative SLE Solvers over a CPU-GPU Platform.
Proceedings of the 12th IEEE International Conference on High Performance Computing and Communications, 2010


  Loading...