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Publications

Displaying results 351 to 360 of 412.

  1. Andrew S. Morgan; Daljeet Nandha; Georgia Chalvatzaki; Carlo D'Eramo; Aaron M. Dollar; Jan Peters

    Model Predictive Actor-Critic: Accelerating Robot Skill Acquisition with Deep Reinforcement Learning

    In: IEEE International Conference on Robotics and Automation. IEEE International Conference on Robotics and Automation (ICRA-2021), May 30 - June 5, Xi'an, China, Pages 6672-6678, IEEE, 2021.

  2. Michael Lutter; Shie Mannor; Jan Peters; Dieter Fox; Animesh Garg

    Value Iteration in Continuous Actions, States and Time

    In: Marina Meila; Tong Zhang (Hrsg.). Proceedings of the 38th International Conference on Machine Learning. International Conference on Machine Learning (ICML-2021), July 18-24, Pages 7224-7234, Proceedings of Machine Learning Research, Vol. 139, PMLR, 2021.

  3. Amr Gomaa; Michael Feld

    Adaptive User-centered Neuro-symbolic Learning for Multimodal Interaction with Autonomous Systems

    In: AI & HCI Workshop at the 40th International Conference on Machine Learning (ICML). AI&HCI Workshop @ ICML, located at icml, July 29, Honolulu, Hawaii, USA, PMLR, 2023.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. Vincent Vandeghinste; Mirella De Sisto; Maria Kopf; Davy Van Landuyt Picron; Irene Murtagh; Eleftherios Avramidis; Mathieu De Coster

    European Language Equality, Report on Europe's Sign Languages

    In: Maria Giagkou; Stelios Piperidis; Georg Rehm; Jane Dunne (Hrsg.). Project European Language Equality (ELE). Pages 1-31, ELE Consortium, 5/2023.

  9. 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.

  10. 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.

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