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Year: 2021
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Displaying results 41 to 50 of 677.

  1. 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 Artificial Intelligence and Statistics (AISTATS-2021), April 13-15, Pages 1198-1206, Proceedings of Machine Learning Research, Vol. 130, PMLR, 2021.

  2. Carlo D'Eramo; Davide Tateo; Andrea Bonarini; Marcello Restelli; Jan Peters

    MushroomRL: Simplifying Reinforcement Learning Research

    In: Journal of Machine Learning Research, Vol. 22, Pages 131:1-131:5, JMLR, 2021.

  3. Niyati Rawal; Dorothea Koert; Cigdem Turan; Kristian Kersting; Jan Peters; Ruth Stock-Homburg

    ExGenNet: Learning to Generate Robotic Facial Expression Using Facial Expression Recognition

    In: Frontiers in Robotics and AI, Vol. 8, Pages 0-10, Frontiers, 2021.

  4. Fabio Muratore; Michael Gienger; Jan Peters

    Assessing Transferability From Simulation to Reality for Reinforcement Learning

    In: IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 43, No. 4, Pages 1172-1183, IEEE, 2021.

  5. Riad Akrour; Asma Atamna; Jan Peters

    Convex optimization with an interpolation-based projection and its application to deep learning

    In: Machine Learning, Vol. 110, No. 8, Pages 2267-2289, Springer, 2021.

  6. Carlo D'Eramo; Andrea Cini; Alessandro Nuara; Matteo Pirotta; Cesare Alippi; Jan Peters; Marcello Restelli

    Gaussian Approximation for Bias Reduction in Q-Learning

    In: Journal of Machine Learning Research, Vol. 22, Pages 277:1-277:51, JMLR, 2021.

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

    Reinforcement learning algorithms: analysis and applications

    Springer, 2021.

  8. 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 in Computer Aided Architectural Design in Europe (eCAADe-2021), September 8-10, Novi Sad, Serbia, Pages 27-36, eCAADe, 2021.

  9. 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.

  10. Julien Brosseit; Benedikt Hahner; Fabio Muratore; Michael Gienger; Jan Peters

    Distilled Domain Randomization

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2112.03149, Pages 0-10, arXiv, 2021.

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