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Publications

Displaying results 1691 to 1700 of 15196.

  1. Pascal Klink; Carlo D'Eramo; Jan Peters; Joni Pajarinen

    Boosted Curriculum Reinforcement Learning

    In: The Tenth International Conference on Learning Representations. International Conference on Learning Representations (ICLR-2022), April 25-29, OpenReview.net, 2022.

  2. Vignesh Prasad; Dorothea Koert; Ruth Stock-Homburg; Jan Peters; Georgia Chalvatzaki

    MILD: Multimodal Interactive Latent Dynamics for Learning Human-Robot Interaction

    In: 21st IEEE-RAS International Conference on Humanoid Robots. IEEE-RAS International Conference on Humanoid Robots (Humanoids-2022), November 28-30, Ginowan, Japan, Pages 472-479, IEEE, 2022.

  3. Jo~ao Carvalho; Dorothea Koert; Marek Daniv; Jan Peters

    Adapting Object-Centric Probabilistic Movement Primitives with Residual Reinforcement Learning

    In: 21st IEEE-RAS International Conference on Humanoid Robots. IEEE-RAS International Conference on Humanoid Robots (Humanoids-2022), November 28-30, Ginowan, Japan, Pages 405-412, IEEE, 2022.

  4. Jonathan Vorndamme; Jo~ao Carvalho; Riddhiman Laha; Dorothea Koert; Luis Figueredo; Jan Peters; Sami Haddadin

    Integrated Bi-Manual Motion Generation and Control shaped for Probabilistic Movement Primitives

    In: 21st IEEE-RAS International Conference on Humanoid Robots. IEEE-RAS International Conference on Humanoid Robots (Humanoids-2022), November 28-30, Ginowan, Japan, Pages 202-209, IEEE, 2022.

  5. Joe Watson; Jan Peters

    Inferring Smooth Control: Monte Carlo Posterior Policy Iteration with Gaussian Processes

    In: Karen Liu; Dana Kulic; Jeffrey Ichnowski (Hrsg.). Conference on Robot Learning, CoRL 2022. Conference on Robot Learning (CoRL-2022), December 14-18, Auckland, New Zealand, Pages 67-79, Proceedings of Machine Learning Research, Vol. 205, PMLR, 2022.

  6. Marius Memmel; Puze Liu; Davide Tateo; Jan Peters

    Dimensionality Reduction and Prioritized Exploration for Policy Search

    In: Gustau Camps-Valls; Francisco J. R. Ruiz; Isabel Valera (Hrsg.). International Conference on Artificial Intelligence and Statistics. International Conference on Artificial Intelligence and Statistics (AISTATS-2022), March 28-30, Pages 2134-2157, Proceedings of Machine Learning Research, Vol. 151, PMLR, 2022.

  7. Ankit Agrawal; Hannah Stein; Sascha Xu; Sabine Janzen; Wolfgang Maaß

    QUASIM: Quantum Computing Enhanced Service Ecosystem for Simulation in Manufacturing

    In: The 42nd International Conference on Conceptual Modeling. International Conference on Conceptual Modeling (ER-2023), Lisbon, Portugal, Springer, 11/2023.

  8. Olga Viberg; Ioana Jivet; Pedro J. Muñoz-Merino; Maria Perifanou; Tina Papathoma (Hrsg.)

    Proceedings of the Eighteenth European Conference on Technology Enhanced Learning

    European Conference on Technology Enhanced Learning (EC-TEL-2023), September 4-8, Aveiro, Portugal, Springer, 9/2023.

  9. Nghia Duong-Trung; Hitesh Kotte; Milos Kravcik

    Augmented Intelligence in Tutoring Systems: A Case Study in Real-time Pose Tracking to Enhance the Self-Learning of Fitness Exercises

    In: European Conference on Technology Enhanced Learning. European Conference on Technology Enhanced Learning (EC-TEL-2023), 18th European Conference on Technology Enhanced Learning (ECTEL), September 4-8, Aveiro, Portugal, ISBN 978-3-031-42682-7_65, Springer, 9/2023.

  10. Hannah Stein; Stefan Schröder; Pascal Kienast; Marco Kulig

    Towards Requirements Engineering for Quantum Computing Applications in Manufacturing

    In: Hawaii International Conference on System Sciences 2024. Hawaii International Conference on System Sciences (HICSS-2024), HICSS, USA, 1/2024.

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