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Jahr: 2021
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  1. Boris Belousov; Hany Abdulsamad; Pascal Klink; Simone Parisi; Jan Peters

    Reinforcement learning algorithms: analysis and applications

    Springer, 2021.

  2. 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 …

  3. 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.

  4. 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.

  5. 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 …

  6. 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 …

  7. Michael Lutter; Debora Clever; René Kirsten; Kim Listmann; Jan Peters

    Building Skill Learning Systems for Robotics

    In: 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE). IEEE International Conference on Automation Science and …

  8. Joe Watson; Jan Peters

    Advancing Trajectory Optimization with Approximate Inference: Exploration, Covariance Control and Adaptive Risk

    In: 2021 American Control Conference. American Control Conference (ACC-2021), May 25-28, New Orleans, LA, USA, Pages 1231-1236, IEEE, 2021.

  9. Joe Watson; Jihao Andreas Lin; Pascal Klink; Joni Pajarinen; Jan Peters

    Latent Derivative Bayesian Last Layer Networks

    In: Arindam Banerjee; Kenji Fukumizu (Hrsg.). The 24th International Conference on Artificial Intelligence and Statistics. International Conference on …

  10. Florian Stuhlenmiller; Debora Clever; Stephan Rinderknecht; Michael Lutter; Jan Peters

    Trajectory Optimization of Energy Consumption and Expected Service Life of a Robotic System

    In: 2021 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM). IEEE/ASME International Conference on Advanced Intelligent …

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