Skip to main content Skip to main navigation

Publications

Displaying results 1801 to 1810 of 15214.

  1. Bang You; Oleg Arenz; Youping Chen; Jan Peters

    Integrating contrastive learning with dynamic models for reinforcement learning from images

    In: Neurocomputing, Vol. 476, Pages 102-114, Elsevier, 2022.

  2. Fabio Muratore; Fabio Ramos; Greg Turk; Wenhao Yu; Michael Gienger; Jan Peters

    Robot Learning From Randomized Simulations: A Review

    In: Frontiers in Robotics and AI, Vol. 9, Pages 0-10, Frontiers, 2022.

  3. Hamish Flynn; David Reeb; Melih Kandemir; Jan Peters

    PAC-Bayesian lifelong learning for multi-armed bandits

    In: Data Mining and Knowledge Discovery, Vol. 36, No. 2, Pages 841-876, Springer, 2022.

  4. Simone Parisi; Davide Tateo; Maximilian Hensel; Carlo D'Eramo; Jan Peters; Joni Pajarinen

    Long-Term Visitation Value for Deep Exploration in Sparse-Reward Reinforcement Learning

    In: Algorithms, Vol. 15, No. 3, Pages 0-10, MDPI, 2022.

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

    Function-Space Regularization for Deep Bayesian Classification

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2307.06055, Pages 0-10, arXiv, 2023.

  6. Johanna Bethge; Maik Pfefferkorn; Alexander Rose; Jan Peters; Rolf Findeisen

    Model Predictive Control with Gaussian-Process-Supported Dynamical Constraints for Autonomous Vehicles

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2303.04725, Pages 0-10, arXiv, 2023.

  7. An T. Le; Kay Hansel; Jan Peters; Georgia Chalvatzaki

    Hierarchical Policy Blending As Optimal Transport

    In: Nikolai Matni; Manfred Morari; George J. Pappas (Hrsg.). Proceedings of The 5th Annual Learning for Dynamics and Control Conference. Learning for Dynamics and Control Conference (L4DC-2023), June 14-16, Philadelphia, PA, USA, Pages 797-812, Proceedings of Machine Learning Research (PMLR), Vol. 211, PMLR, 2023.

  8. Daniel Palenicek; Michael Lutter; Joao Carvalho; Jan Peters

    Diminishing Return of Value Expansion Methods in Model-Based Reinforcement Learning

    In: The Eleventh International Conference on Learning Representations. International Conference on Learning Representations (ICLR-2023), OpenReview.net, 2023.

  9. Mohamed Selim; Pablo López de Uralde; Jon Mata; Eider Gorostegui-Colinas; Beatriz Chicote; Alain Pagani; Didier Stricker

    Vision-Based Ladle Monitoring System for Steel Factories

    In: Proceedings of the 1st European Symposium on Artificial Intelligence in Manufacturing. European Symposium on Artificial Intelligence in Manufacturing (ESAIM-2023), September 19, Kaiserslautern, Germany, 2023.

  10. Julia Lena Huckert; Aleksandr Sidorenko; Achim Wagner

    Analysis and Assessment of Multi-Agent Systems for Production Planning and Control

    In: Francisco J. G. Silva; António B. Pereira; Raul D. S. G. Campilho (Hrsg.). Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems. International Conference on Flexible Automation and Intelligent Manufacturing (FAIM), Cham, Pages 687-698, ISBN 978-3-031-38241-3, Springer Nature Switzerland, 2024.

Year

More options