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Jahr: 2008
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  1. Christian Plagemann; Sebastian Mischke; Sam Prentice; Kristian Kersting; Nicholas Roy; Wolfram Burgard

    Learning predictive terrain models for legged robot locomotion

    In: 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems …

  2. Sriraam Natarajan; Hung Hai Bui; Prasad Tadepalli; Kristian Kersting; Weng-Keen Wong

    Logical Hierarchical Hidden Markov Models for Modeling User Activities

    In: Filip Zelezný; Nada Lavrac (Hrsg.). Inductive Logic Programming, 18th International Conference, Proceedings. International Conference on Inductive …

  3. Kristian Kersting

    SRL without Tears: An ILP Perspective

    In: Filip Zelezný; Nada Lavrac (Hrsg.). Inductive Logic Programming, 18th International Conference, Proceedings. International Conference on Inductive …

  4. Kristian Kersting; Kurt Driessens

    Non-parametric policy gradients: a unified treatment of propositional and relational domains

    In: William W. Cohen; Andrew McCallum; Sam T. Roweis (Hrsg.). Machine Learning, Proceedings of the Twenty-Fifth International Conference (ICML 2008). …

  5. Andreas Karwath; Kristian Kersting; Niels Landwehr

    Boosting Relational Sequence Alignments

    In: Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008). IEEE International Conference on Data Mining (ICDM-2008), …

  6. Brian Milch; Luke S. Zettlemoyer; Kristian Kersting; Michael Haimes; Leslie Pack Kaelbling

    Lifted Probabilistic Inference with Counting Formulas

    In: Dieter Fox; Carla P. Gomes (Hrsg.). Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial …

  7. Luc De Raedt; Kristian Kersting; Angelika Kimmig; Kate Revoredo; Hannu Toivonen

    Compressing probabilistic Prolog programs

    In: Machine Learning, Vol. 70, No. 2-3, Pages 151-168, Springer, 2008.

  8. Marc Peter Deisenroth; Carl Edward Rasmussen; Jan Peters

    Model-Based Reinforcement Learning with Continuous States and Actions

    In: 16th European Symposium on Artificial Neural Networks, Proceedings. European Symposium on Artificial Neural Networks, Computational Intelligence …

  9. Duy Nguyen-Tuong; Jan Peters; Matthias W. Seeger; Bernhard Schölkopf

    Learning Inverse Dynamics: a Comparison

    In: 16th European Symposium on Artificial Neural Networks, Proceedings. European Symposium on Artificial Neural Networks, Computational Intelligence …

  10. Marc Peter Deisenroth; Jan Peters; Carl E. Rasmussen

    Approximate dynamic programming with Gaussian processes

    In: American Control Conference. American Control Conference (ACC-2008), June 11-13, Seattle, WA, USA, Pages 4480-4485, IEEE, 2008.

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