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Publications

Displaying results 1831 to 1840 of 13882.

  1. Julen Urain; Jan Peters

    Generalized Multiple Correlation Coefficient as a Similarity Measurement between Trajectories

    In: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2019), November 3-8, Macau, China, Pages 1363-1369, IEEE, 2019.

  2. Svenja Stark; Jan Peters; Elmar Rueckert

    Experience Reuse with Probabilistic Movement Primitives

    In: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2019), November 3-8, Macau, China, Pages 1210-1217, IEEE, 2019.

  3. Samuele Tosatto; Carlo D'Eramo; Joni Pajarinen; Marcello Restelli; Jan Peters

    Exploration Driven by an Optimistic Bellman Equation

    In: International Joint Conference on Neural Networks. International Joint Conference on Neural Networks (IJCNN-2019), July 14-19, Budapest, Hungary, Pages 1-8, IEEE, 2019.

  4. Philip Becker-Ehmck; Jan Peters; Patrick van der Smagt

    Switching Linear Dynamics for Variational Bayes Filtering

    In: Kamalika Chaudhuri; Ruslan Salakhutdinov (Hrsg.). Proceedings of the 36th International Conference on Machine Learning. International Conference on Machine Learning (ICML-2019), June 9-15, Long Beach, California, USA, Pages 553-562, Proceedings of Machine Learning Research, Vol. 97, PMLR, 2019.

  5. Riad Akrour; Joni Pajarinen; Jan Peters; Gerhard Neumann

    Projections for Approximate Policy Iteration Algorithms

    In: Kamalika Chaudhuri; Ruslan Salakhutdinov (Hrsg.). Proceedings of the 36th International Conference on Machine Learning. International Conference on Machine Learning (ICML-2019), June 9-15, Long Beach, California, USA, Pages 181-190, Proceedings of Machine Learning Research, Vol. 97, PMLR, 2019.

  6. Michael Lutter; Christian Ritter; Jan Peters

    Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning

    In: 7th International Conference on Learning Representations. International Conference on Learning Representations (ICLR-2019), May 6-9, New Orleans, LA, USA, OpenReview.net, 2019.

  7. Joe Watson; Hany Abdulsamad; Jan Peters

    Stochastic Optimal Control as Approximate Input Inference

    In: Leslie Pack Kaelbling; Danica Kragic; Komei Sugiura (Hrsg.). 3rd Annual Conference on Robot Learning, Proceedings. Conference on Robot Learning (CoRL-2019), October 30 - November 1, Osaka, Japan, Pages 697-716, Proceedings of Machine Learning Research, Vol. 100, PMLR, 2019.

  8. Dusan Dokic; Florian Groen in't Woud; Wolfgang Maaß

    Towards Sustainability of AI: A Systematic Review of Exisiting Life Cycle Assessment Approaches and Key Environmental Impact Parameters of Artificial Intelligence

    In: Proceedings of the 57th Annual Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences (HICSS-2024), Digital Innovation for a Sustainable Economy, January 3-6, Waikiki, HI, USA, ScholarSpace, 1/2024.

  9. Jan Nehring; René Marcel Berk; Stefan Hillmann

    Context Aware Module Selection in Modular Dialog Systems

    In: Proceedings of Recent Advantages of Natural Language Processing 2023. International Conference on Recent Advances in Natural Language Processing (RANLP-2023), 2023.

  10. Sabine Janzen; Amin Harig; Natalie Gdanitz; Hannah Stein; Nurten Öksüz-Köster; Wolfgang Maaß

    Decoding Resilience: A Graph-based Approach for Organizational Resilience Assessment

    In: Conference Proceedings. International Conference on Conceptual Modeling (ER-2023), CEUR-WS.org, 11/2023.

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