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Publications

Displaying results 211 to 220 of 581.

  1. Melvin Laux; Oleg Arenz; Jan Peters; Joni Pajarinen

    Deep Adversarial Reinforcement Learning for Object Disentangling

    In: IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2020), October 24 - January 24, Las Vegas, NV, USA, Pages 5504-5510, IEEE, 2020.

  2. Riad Akrour; Davide Tateo; Jan Peters

    Reinforcement Learning from a Mixture of Interpretable Experts

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2006.05911, Pages 0-10, arXiv, 2020.

  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. Mirjana Ivanovic; Serge Autexier; Miltiadis Kokkonidis; Johannes Rust

    Quality medical data management within an open AI architecture – cancer patients case

    In: Connection Science, Vol. 35, No. 1, Page 2194581, Taylor & Francis, 4/2023.

  6. Ho Minh Duy Nguyen; Hoang Nguyen; Mai T. N. Truong; Tri Cao; Binh T. Nguyen; Nhat Ho; Paul Swoboda; Shadi Albarqouni; Pengtao Xie; Daniel Sonntag

    Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering

    In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI-2023). AAAI Conference on Artificial Intelligence (AAAI), February 7-14, Washington, DC, USA, AAAI Press, 2/2023.

  7. Simon Jungbluth; Nigora Gafur; Jens Popper; Vassilios Yfantis; Martin Ruskowski

    Reinforcement Learning-based Scheduling of a Job-Shop Process with Distributedly Controlled Robotic Manipulators for Transport Operations

    In: IFAC-PapersOnLine, Vol. 55, No. 2, Pages 156-162, Elsevier, 2022.

  8. Hany Abdulsamad; Oleg Arenz; Jan Peters; Gerhard Neumann

    State-Regularized Policy Search for Linearized Dynamical Systems

    In: Laura Barbulescu; Jeremy Frank; Mausam; Stephen F. Smith (Hrsg.). Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling. International Conference on Automated Planning and Scheduling (ICAPS-2017), June 18-23, Pittsburgh, Pennsylvania, USA, Pages 419-424, AAAI Press, 2017.

  9. Simone Parisi; Simon Ramstedt; Jan Peters

    Goal-driven dimensionality reduction for reinforcement learning

    In: 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2017), September 24-28, Vancouver, BC, Canada, Pages 4634-4639, IEEE, 2017.

  10. Daniel Tanneberg; Alexandros Paraschos; Jan Peters; Elmar Rueckert

    Deep spiking networks for model-based planning in humanoids

    In: 16th IEEE-RAS International Conference on Humanoid Robots. IEEE-RAS International Conference on Humanoid Robots (Humanoids-2016), November 15-17, Cancun, Mexico, Pages 656-661, IEEE, 2016.

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