Skip to main content Skip to main navigation

Publications

Search narrowed by:

Year: 2016
Remove all filters
Displaying results 41 to 50 of 541.

  1. Abbas Abdolmaleki; Rudolf Lioutikov; Nuno Lau; Luís Paulo Reis; Jan Peters; Gerhard Neumann

    Model-Based Relative Entropy Stochastic Search

    In: Tobias Friedrich; Frank Neumann; Andrew M. Sutton (Hrsg.). Genetic and Evolutionary Computation Conference. Genetic and Evolutionary Computation Conference (GECCO-2016), July 20-24, Denver, CO, USA, Pages 153-154, ACM, 2016.

  2. Guilherme Maeda; Aayush Maloo; Marco Ewerton; Rudolf Lioutikov; Jan Peters

    Anticipative Interaction Primitives for Human-Robot Collaboration

    In: 2016 AAAI Fall Symposia. AAAI Conference on Artificial Intelligence (AAAI-2016), November 17-19, Arlington, Virginia, USA, AAAI Press, 2016.

  3. Guilherme Maeda; Marco Ewerton; Dorothea Koert; Jan Peters

    Acquiring and Generalizing the Embodiment Mapping From Human Observations to Robot Skills

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 1, No. 2, Pages 784-791, IEEE, 2016.

  4. Christian Daniel; Herke van Hoof; Jan Peters; Gerhard Neumann

    Probabilistic inference for determining options in reinforcement learning

    In: Machine Learning, Vol. 104, No. 2-3, Pages 337-357, Springer, 2016.

  5. Abbas Abdolmaleki; Nuno Lau; Luís Paulo Reis; Jan Peters; Gerhard Neumann

    Contextual Policy Search for Linear and Nonlinear Generalization of a Humanoid Walking Controller

    In: Journal of Intelligent & Robotic Systems (JIRS), Vol. 83, No. 3-4, Pages 393-408, Springer, 2016.

  6. Roberto Calandra; André Seyfarth; Jan Peters; Marc Peter Deisenroth

    Bayesian optimization for learning gaits under uncertainty - An experimental comparison on a dynamic bipedal walker

    In: Annals of Mathematics and Artificial Intelligence (AMAI), Vol. 76, No. 1-2, Pages 5-23, Springer, 2016.

  7. Elena Erdmann; Karin Boczek; Lars Koppers; Gerret von Nordheim; Christian Pölitz; Alejandro Molina; Katharina Morik; Henrik Müller; Jörg Rahnenführer; Kristian Kersting

    Machine Learning meets Data-Driven Journalism: Boosting International Understanding and Transparency in News Coverage

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1606.05110, Pages 0-10, arXiv, 2016.

  8. Martin Mladenov; Leonard Kleinhans; Kristian Kersting

    Lifted Convex Quadratic Programming

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/1606.04486, Pages 0-10, arXiv, 2016.

  9. Kristian Kersting; Christian Bauckhage; Mirwaes Wahabzada; Anne-Katrin Mahlein; Ulrike Steiner; Erich-Christian Oerke; Christoph Römer; Lutz Plümer

    Feeding the World with Big Data: Uncovering Spectral Characteristics and Dynamics of Stressed Plants

    In: Jörg Lässig; Kristian Kersting; Katharina Morik (Hrsg.). Computational Sustainability. Pages 99-120, Studies in Computational Intelligence, Vol. 645, Springer, 2016.

  10. Mayukh Das; Yuqing Wu; Tushar Khot; Kristian Kersting; Sriraam Natarajan

    Scaling Lifted Probabilistic Inference and Learning Via Graph Databases

    In: Sanjay Chawla Venkatasubramanian; Wagner Meira Jr. (Hrsg.). Proceedings of the 2016 SIAM International Conference on Data Mining. SIAM International Conference on Data Mining (SDM-2016), May 5-7, Miami, FL, USA, Pages 738-746, ISBN 978-1-61197-434-8, SIAM, 2016.

Year