Skip to main content Skip to main navigation

Publications

Displaying results 1651 to 1660 of 5313.

  1. Jo~ao Carvalho; Davide Tateo; Fabio Muratore; Jan Peters

    An Empirical Analysis of Measure-Valued Derivatives for Policy Gradients

    In: International Joint Conference on Neural Networks. International Joint Conference on Neural Networks (IJCNN-2021), July 18-22, Shenzhen, China, Pages 1-10, IEEE, 2021.

  2. Puze Liu; Davide Tateo; Haitham Bou-Ammar; Jan Peters

    Robot Reinforcement Learning on the Constraint Manifold

    In: Aleksandra Faust; David Hsu; Gerhard Neumann (Hrsg.). Conference on Robot Learning. Conference on Robot Learning (CoRL-2021), November 8-11, London, United Kingdom, Pages 1357-1366, Proceedings of Machine Learning Research, Vol. 164, PMLR, 2021.

  3. Michael Lutter; Debora Clever; René Kirsten; Kim Listmann; Jan Peters

    Building Skill Learning Systems for Robotics

    In: 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE). IEEE International Conference on Automation Science and Engineering (CASE-2021), August 23-27, Lyon, France, Pages 1878-1883, IEEE, 2021.

  4. Joe Watson; Jan Peters

    Advancing Trajectory Optimization with Approximate Inference: Exploration, Covariance Control and Adaptive Risk

    In: 2021 American Control Conference. American Control Conference (ACC-2021), May 25-28, New Orleans, LA, USA, Pages 1231-1236, IEEE, 2021.

  5. Joe Watson; Jihao Andreas Lin; Pascal Klink; Joni Pajarinen; Jan Peters

    Latent Derivative Bayesian Last Layer Networks

    In: Arindam Banerjee; Kenji Fukumizu (Hrsg.). The 24th International Conference on Artificial Intelligence and Statistics. International Conference on Artificial Intelligence and Statistics (AISTATS-2021), April 13-15, Pages 1198-1206, Proceedings of Machine Learning Research, Vol. 130, PMLR, 2021.

  6. Sören Tempel; Rolf Drechsler

    Automated Testing of Stateful Network Protocol Implementations in the IoT

    In: ROIT Summit. RIOT Summit, September 18-19, Frankfurt am Main, Germany, 2023.

  7. Sabine Janzen; Agbodzea Pascal Ahiagble; Lotfy Abdel Khaliq; Natalie Gdanitz; Prajvi Saxena; Prathvish Mithare; Denys Skrytskyi; Wolfgang Maaß

    PAIRS – Privacy-Aware, Intelligent and Resilient Crisis Management

    In: Conference Proceedings (Vol. 2). International Conference on Conceptual Modeling (ER-2023), CEUR-WS.org, 11/2023.

  8. Sabine Janzen; Prajvi Saxena; Sebastian Baer; Wolfgang Maaß

    'Listening In': Social Signal Detection for Crisis Prediction

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

  9. Natalie Gdanitz; Sabine Janzen; Hannah Stein; Amin Harig; Wolfgang Maaß

    ADA: Automatic Data Annotation for Data Ecosystems

    In: Irini Fundulaki; Kouji Kozaki; Jose Manuel Gomez-Perez; Daniel Garijo (Hrsg.). Proceedings of the ISWC 2023 Posters, Demos and Industry Tracks. International Semantic Web Conference (ISWC-2023), located at 22nd International Semantic Web Conference, November 6-10, Athens, Greece, Springer, 11/2023.

  10. Carlos E. Luis; Alessandro G. Bottero; Julia Vinogradska; Felix Berkenkamp; Jan Peters

    Model-Based Uncertainty in Value Functions

    In: Francisco J. R. Ruiz; Jennifer G. Dy; Jan-Willem van de Meent (Hrsg.). International Conference on Artificial Intelligence and Statistics. International Conference on Artificial Intelligence and Statistics (AISTATS), Pages 8029-8052, Proceedings of Machine Learning Research, Vol. 206, PMLR, 2023.

Year

More options