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Publications

Displaying results 2591 to 2600 of 14418.

  1. Sriraam Natarajan; Kristian Kersting

    Never Ending Reasoning and Learning: Opportunities and Challenges

    In: Martin Mundt; Keiland W. Cooper; Devendra Singh Dhami; Adéle Ribeiro; James Seale Smith; Alexis Bellot; Tyler L. Hayes (Hrsg.). AAAI Bridge Program on Continual Causality. AAAI Conference on Artificial Intelligence (AAAI-2023), February 7-8, Washington, DC, USA, Pages 71-74, Proceedings of Machine Learning Research, Vol. 208, PMLR, 2023.

  2. Felix Friedrich; Wolfgang Stammer; Patrick Schramowski; Kristian Kersting

    A typology for exploring the mitigation of shortcut behaviour

    In: Nature Machine Intelligence, Vol. 5, No. 3, Pages 319-330, Springer, 2023.

  3. Hikaru Shindo; Viktor Pfanschilling; Devendra Singh Dhami; Kristian Kersting

    (alpha)ILP: thinking visual scenes as differentiable logic programs

    In: Machine Learning, Vol. 112, No. 5, Pages 1465-1497, Springer, 2023.

  4. Jun Nakanishi; Rick Cory; Michael N. Mistry; Jan Peters; Stefan Schaal

    Comparative experiments on task space control with redundancy resolution

    In: 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2005), August 2-6, Edmonton, Alberta, Canada, Pages 3901-3908, IEEE, 2005.

  5. Jan Peters; Stefan Schaal

    Reinforcement Learning for Operational Space Control

    In: 2007 IEEE International Conference on Robotics and Automation. IEEE International Conference on Robotics and Automation (ICRA-2007), April 10-14, Roma, Italy, Pages 2111-2116, IEEE, 2007.

  6. Jan Peters; Stefan Schaal

    Reinforcement learning by reward-weighted regression for operational space control

    In: Zoubin Ghahramani (Hrsg.). Machine Learning, Proceedings of the Twenty-Fourth International Conference (ICML 2007). International Conference on Machine Learning (ICML-2007), June 20-24, Corvallis, Oregon, USA, Pages 745-750, ACM International Conference Proceeding Series, Vol. 227, ACM, 2007.

  7. Duy Nguyen-Tuong; Matthias W. Seeger; Jan Peters

    Local Gaussian Process Regression for Real Time Online Model Learning

    In: Daphne Koller; Dale Schuurmans; Yoshua Bengio; Léon Bottou (Hrsg.). Advances in Neural Information Processing Systems 21, Proceedings of the Twenty-Second Annual Conference on Neural Information Processing Systems. Neural Information Processing Systems (NeurIPS-2008), December 8-11, Vancouver, British Columbia, Canada, Pages 1193-1200, Curran Associates, Inc. 2008.

  8. Silvia Chiappa; Jens Kober; Jan Peters

    Using Bayesian Dynamical Systems for Motion Template Libraries

    In: Daphne Koller; Dale Schuurmans; Yoshua Bengio; Léon Bottou (Hrsg.). Advances in Neural Information Processing Systems 21, Proceedings of the Twenty-Second Annual Conference on Neural Information Processing Systems. Neural Information Processing Systems (NeurIPS-2008), December 8-11, Vancouver, British Columbia, Canada, Pages 297-304, Curran Associates, Inc. 2008.

  9. Hirotaka Hachiya; Takayuki Akiyama; Masashi Sugiyama; Jan Peters

    Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation

    In: Dieter Fox; Carla P. Gomes (Hrsg.). Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence (AAAI-2008), July 13-17, Chicago, Illinois, USA, Pages 1351-1356, AAAI Press, 2008.

  10. Jan Peters; Stefan Schaal

    Reinforcement learning of motor skills with policy gradients

    In: Neural Networks, Vol. 21, No. 4, Pages 682-697, Elsevier, 2008.

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