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Year: 2021
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Displaying results 1 to 10 of 676.

  1. Pascal Klink; Hany Abdulsamad; Boris Belousov; Carlo D'Eramo; Jan Peters; Joni Pajarinen

    A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning

    In: Journal of Machine Learning Research, Vol. 22, Pages 182:1-182:52, JMLR, 2021.

  2. Liudvikas Nemiro; Gerard Canal; Oscar Lima; Michael Cashmore; Mark Roberts

    Designing an Adaptable Benchmark and Competition Simulation for Integrated Planning and Execution

    In: Workshop on the International Planning Competition (WIPC). International Conference on Automated Planning and Scheduling (ICAPS-2021), located at …

  3. Tomás Ribeiro; Oscar Lima; Michael Cashmore; Andrea Micheli; Rodrigo Ventura

    Olisipo: A probabilistic approach to the adaptable execution of deterministic temporal plans

    In: Proceedings of the International Symposium on Temporal Representation and Reasoning. International Symposium on Temporal Representation and …

  4. Boris Belousov; Hany Abdulsamad; Pascal Klink; Simone Parisi; Jan Peters

    Reinforcement learning algorithms: analysis and applications

    Springer, 2021.

  5. Bastian Wibranek; Yuxi Liu; Niklas Funk; Boris Belousov; Jan Peters; Oliver Tessmann

    Reinforcement learning for sequential assembly of SL-blocks-self-interlocking combinatorial design based on machine learning

    In: Vesna Stojaković; Bojan Tepavčević (Hrsg.). eCAADe 2021 - Towards a New, Configurable Architecture, Volume 1 - Proceedings. Education and Research …

  6. Hany Abdulsamad; Tim Dorau; Boris Belousov; Jia-Jie Zhu; Jan Peters

    Distributionally Robust Trajectory Optimization Under Uncertain Dynamics via Relative Entropy Trust-Regions

    arXiv preprint arXiv:2103.15388, 2021.

  7. Joe Watson; Hany Abdulsamad; Rolf Findeisen; Jan Peters

    Stochastic Control through Approximate Bayesian Input Inference

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2105.07693, Pages 0-10, arXiv, 2021.

  8. Stephan Weigand; Pascal Klink; Jan Peters; Joni Pajarinen

    Reinforcement Learning using Guided Observability

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2104.10986, Pages 0-10, arXiv, 2021.

  9. Tianyu Ren; Georgia Chalvatzaki; Jan Peters

    Extended Task and Motion Planning of Long-horizon Robot Manipulation

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2103.05456, Pages 0-10, arXiv, 2021.

  10. Julen Urain; Puze Liu; Anqi Li; Carlo D'Eramo; Jan Peters

    Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning

    In: Dylan A. Shell; Marc Toussaint; M. Ani Hsieh (Hrsg.). Robotics: Science and Systems XVII. Robotics: Science and Systems (RSS-2021), July 12-16, …

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