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Publications

Displaying results 311 to 320 of 666.

  1. Théo Vincent; Boris Belousov; Carlo D'Eramo; Jan Peters (Hrsg.)

    Iterated Deep Q-Network: Efficient Learning of Bellman Iterations for Deep Reinforcement Learning

    European Workshop on Reinforcement Learning (EWRL-2023), European Workshop on Reinforcement Learning, 2023.

  2. Piotr Kicki; Puze Liu; Davide Tateo; Haitham Bou-Ammar; Krzysztof Walas; Piotr Skrzypczynski; Jan Peters

    Fast Kinodynamic Planning on the Constraint Manifold with Deep Neural Networks

    In: IEEE Transactions on Robotics (T-RO), Vol. abs/2301.04330, Pages 0-10, IEEE, 2023.

  3. 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.

  4. Nabeel Khalid; Tiago Comassetto Froes; Maria Caroprese; Gillian Lovell; Johan Trygg; Andreas Dengel; Sheraz Ahmed

    PACE: Point Annotation-Based Cell Segmentation for Efficient Microscopic Image Analysis

    In: ICANN 2023. International Conference on Artificial Neural Networks (ICANN-2023), 32nd International Conference on Artificial Neural Networks, located at ICANN 2023, September 26-29, Heraklion, Crete, Greece, Springer, 9/2023.

  5. Dikshant Gupta; Matthias Klusch

    Hybrid Deep Reinforcement Learning and Planning for Safe and Comfortable Automated Driving

    In: Intelligent Vehicles. IEEE Intelligent Vehicles Symposium (IV-2023), IEEE, 2023.

  6. Md Abdul Kadir; Abdulrahman Mohamed Selim; Michael Barz; Daniel Sonntag

    A User Interface for Explaining Machine Learning Model Explanations

    In: Companion Proceedings of the 28th International Conference on Intelligent User Interfaces. International Conference on Intelligent User Interfaces (IUI-2023), March 27-31, Sydney, NSW, Australia, Pages 59-63, IUI'23 Companion, Vol. Companion Proceedings of the 28th International Conference on Intelligent User Interfaces, ISBN 9798400701078, Association for Computing Machinery, New York, NY, United States, 3/2023.

  7. Dominique Mercier; Andreas Dengel; Sheraz Ahmed

    From Private to Public: Benchmarking GANs in the Context of Private Time Series Classification

    In: Applied Intelligence (APIN), Vol. July 2024, Pages 1-15, Springer Nature, 7/2023.

  8. Rustam Galljamov; Guoping Zhao; Boris Belousov; André Seyfarth; Jan Peters

    Improving Sample Efficiency of Example-Guided Deep Reinforcement Learning for Bipedal Walking

    In: IEEE-RAS International Conference on Humanoid Robots. IEEE-RAS International Conference on Humanoid Robots (Humanoids-2022), November 28-30, Ginowan, Okinawa, Japan, Pages 587-593, IEEE, 2022.

  9. Fabian Kaufmann; Mahdi Chamseddine; Suresh Guttikonda; Christian Glock; Didier Stricker; Jason Raphael Rambach

    Ontology-based Semantic Labeling for RGB-D and Point Cloud Datasets

    In: Computing in Construction. European Conference on Computing in Construction (EC3-2023), 2023 European Conference on Computing in Construction, July 10-12, Heraklion, Crete, Greece, ISBN 978-0-701702-73-1, EC3, 2023.

  10. Michael Lutter; Boris Belousov; Shie Mannor; Dieter Fox; Animesh Garg; Jan Peters

    Continuous-Time Fitted Value Iteration for Robust Policies

    In: IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 45, No. 5, Pages 5534-5548, IEEE, 2023.

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