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Publications

Displaying results 611 to 620 of 14774.

  1. Andras Gabor Kupcsik; Marc Peter Deisenroth; Jan Peters; Ai Poh Loh; Prahlad Vadakkepat; Gerhard Neumann

    Model-based contextual policy search for data-efficient generalization of robot skills

    In: Artificial Intelligence (AIJ), Vol. 247, Pages 415-439, Elsevier, 2017.

  2. Zhikun Wang; Abdeslam Boularias; Katharina Mülling; Bernhard Schölkopf; Jan Peters

    Anticipatory action selection for human-robot table tennis

    In: Artificial Intelligence (AIJ), Vol. 247, Pages 399-414, Elsevier, 2017.

  3. Renaud Detry; Dirk Kraft; Oliver Kroemer; Leon Bodenhagen; Jan Peters; Norbert Krüger; Justus H. Piater

    Learning grasp affordance densities

    In: Paladyn, Journal of Behavioral Robotics, Vol. 2, No. 1, Pages 1-17, De Gruyter, 2011.

  4. Hirotaka Hachiya; Jan Peters; Masashi Sugiyama

    Reward-Weighted Regression with Sample Reuse for Direct Policy Search in Reinforcement Learning

    In: Neural Computation, Vol. 23, No. 11, Pages 2798-2832, MIT Press, 2011.

  5. Jens Kober; Jan Peters

    Policy search for motor primitives in robotics

    In: Machine Learning, Vol. 84, No. 1-2, Pages 171-203, Springer, 2011.

  6. Johanna Bethge; Maik Pfefferkorn; Alexander Rose; Jan Peters; Rolf Findeisen

    Model Predictive Control with Gaussian-Process-Supported Dynamical Constraints for Autonomous Vehicles

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2303.04725, Pages 0-10, arXiv, 2023.

  7. An T. Le; Kay Hansel; Jan Peters; Georgia Chalvatzaki

    Hierarchical Policy Blending As Optimal Transport

    In: Nikolai Matni; Manfred Morari; George J. Pappas (Hrsg.). Proceedings of The 5th Annual Learning for Dynamics and Control Conference. Learning for Dynamics and Control Conference (L4DC-2023), June 14-16, Philadelphia, PA, USA, Pages 797-812, Proceedings of Machine Learning Research (PMLR), Vol. 211, PMLR, 2023.

  8. Daniel Palenicek; Michael Lutter; Joao Carvalho; Jan Peters

    Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning

    In: The Eleventh International Conference on Learning Representations. International Conference on Learning Representations (ICLR-2023), OpenReview.net, 2023.

  9. Mohamed Selim; Pablo López de Uralde; Jon Mata; Eider Gorostegui-Colinas; Beatriz Chicote; Alain Pagani; Didier Stricker

    Vision-Based Ladle Monitoring System for Steel Factories

    In: Proceedings of the 1st European Symposium on Artificial Intelligence in Manufacturing. European Symposium on Artificial Intelligence in Manufacturing (ESAIM-2023), September 19, Kaiserslautern, Germany, 2023.

  10. Julia Lena Huckert; Aleksandr Sidorenko; Achim Wagner

    Analysis and Assessment of Multi-Agent Systems for Production Planning and Control

    In: Francisco J. G. Silva; António B. Pereira; Raul D. S. G. Campilho (Hrsg.). Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems. International Conference on Flexible Automation and Intelligent Manufacturing (FAIM), Cham, Pages 687-698, ISBN 978-3-031-38241-3, Springer Nature Switzerland, 2024.

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