ROMANS Journal Papers

  1. Osa, T.; Ghalamzan, E. A. M.; Stolkin, R.; Lioutikov, R.; Peters, J.; Neumann, G. (2017). Guiding Trajectory Optimization by Demonstrated Distributions, IEEE Robotics and Automation Letters (RA-L), 2, 2, pp.819-826, IEEE.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

ROMANS Conference and Workshop Papers

  1. Gebhardt, G. H. W.; Kupcsik, A.; Neumann, G. (2017). The Kernel Kalman Rule - Efficient Nonparametric Inference with Recursive Least Squares, Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]
  2. Osa, T.; Peters, J.; Neumann, G. (2016). Experiments with Hierarchical Reinforcement Learning of Multiple Grasping Policies, Proceedings of the International Symposium on Experimental Robotics (ISER).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]
  3. Arenz, O.; Abdulsamad, H.; Neumann, G. (2016). Optimal Control and Inverse Optimal Control by Distribution Matching, Proceedings of the International Conference on Intelligent Robots and Systems (IROS).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]
  4. Gebhardt, G. H. W.; Kupcsik, A.; Neumann, G. (2015). Learning Subspace Conditional Embedding Operators, Large-Scale Kernel Learning Workshop at ICML 2015.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]
  5. Abdolmaleki, A.; Lioutikov, R.; Peters, J; Lau, N.; Reis, L.; Neumann, G. (2015). Model-Based Relative Entropy Stochastic Search, Advances in Neural Information Processing Systems (NIPS), MIT Press.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

ROMANS Books, Book Chapters & Theses

  

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