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  1. Jan Peters; Katharina Mülling; Yasemin Altun

    Relative Entropy Policy Search

    In: Maria Fox; David Poole (Hrsg.). Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial …

  2. Tetsuro Morimura; Eiji Uchibe; Junichiro Yoshimoto; Jan Peters; Kenji Doya

    Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning

    In: Neural Computation, Vol. 22, No. 2, Pages 342-376, MIT Press, 2010.

  3. Daan Wierstra; Alexander Förster; Jan Peters; Jürgen Schmidhuber

    Recurrent policy gradients

    In: Logic Journal of the IGPL Oxford, Vol. 18, No. 5, Pages 620-634, Oxford University Press, 2010.

  4. Sorin M. Grigorescu; Saravana K. Natarajan; Dennis Mronga; Axel Gräser

    Robust feature extraction for 3D reconstruction of boundary segmented objects in a robotic Library scenario

    In: 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems …

  5. Scott Sanner; Kristian Kersting

    Symbolic Dynamic Programming for First-order POMDPs

    In: Maria Fox; David Poole (Hrsg.). Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial …

  6. Kristian Kersting; Youssef El Massaoudi; Fabian Hadiji; Babak Ahmadi

    Informed Lifting for Message-Passing

    In: Maria Fox; David Poole (Hrsg.). Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial …

  7. Fabian Hadiji; Kristian Kersting; Babak Ahmadi

    Lifted Message Passing for Satisfiability

    In: Statistical Relational Artificial Intelligence, Papers from the 2010 AAAI Workshop. AAAI Conference on Artificial Intelligence (AAAI-2010), July …

  8. Luc De Raedt; Angelika Kimmig; Bernd Gutmann; Kristian Kersting; Vítor Santos Costa; Hannu Toivonen

    Probabilistic Inductive Querying Using ProbLog

    In: Saso Dzeroski; Bart Goethals; Pance Panov (Hrsg.). Inductive Databases and Constraint-Based Data Mining. Pages 229-262, Springer, 2010.

  9. Kristian Kersting; Mirwaes Wahabzada; Christian Thurau; Christian Bauckhage

    Hierarchical Convex NMF for Clustering Massive Data

    In: Masashi Sugiyama; Qiang Yang (Hrsg.). Proceedings of the 2nd Asian Conference on Machine Learning. Asian Conference on Machine Learning …

  10. Zhao Xu; Kristian Kersting; Thorsten Joachims

    Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processes

    In: José L. Balcázar; Francesco Bonchi; Aristides Gionis; Michèle Sebag (Hrsg.). Machine Learning and Knowledge Discovery in Databases, European …