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Publications

Displaying results 2101 to 2110 of 5313.

  1. Fabio Muratore; Theo Gruner; Florian Wiese; Boris Belousov; Michael Gienger; Jan Peters

    Neural posterior domain randomization

    In: Aleksandra Faust; David Hsu; Gerhard Neumann (Hrsg.). Proceedings of the 5th Conference on Robot Learning. Conference on Robot Learning (CoRL-2021), November 8-11, London, United Kingdom, Pages 1532-1542, Proceedings of Machine Learning Research (PMLR), Vol. 164, PMLR, 2022.

  2. Niklas Funk; Georgia Chalvatzaki; Boris Belousov; Jan Peters

    Learn2assemble with structured representations and search for robotic architectural construction

    In: Aleksandra Faust; David Hsu; Gerhard Neumann (Hrsg.). Proceedings of the 5th Conference on Robot Learning. Conference on Robot Learning (CoRL-2021), November 8-11, London, United Kingdom, Pages 1401-1411, Proceedings of Machine Learning Research (PMLR), Vol. 164, PMLR, 2022.

  3. Marc Otto; Octavio Arriaga; Chandandeep Singh; Jichen Guo; Frank Kirchner

    PhysWM: Physical World Models for Robot Learning

    In: NeSy 2023: 17th International Workshop on Neural-Symbolic Learning and Reasoning. International Workshop on Neural-Symbolic Learning and Reasoning (NeSy-2023), July 3-5, Certosa di Pontignano, Siena, Italy, CEUR Workshop Proceedings, 7/2023.

  4. Matteo Orsoni; Alexander Pögelt; Nghia Duong-Trung; Mariagrazia Benassi; Milos Kravcik; Martin Grüttmüller

    Recommending Mathematical Tasks Based on Reinforcement Learning and Item Response Theory

    In: Claude Frasson; Phivos Mylonas; Christos Troussas (Hrsg.). Augmented Intelligence and Intelligent Tutoring Systems. International Conference on Intelligent Tutoring Systems (ITS-2023), 19th, June 2-5, Corfu, Greece, Pages 16-28, Lecture Notes in Computer Science (LNCS), No. 13891, ISBN 978-3-031-32882-4, Springer, Cham, 5/2023.

  5. Rekha Reddy; Yorman Munoz; Christoph Lipps; Hans Dieter Schotten

    Supervised Wireless Communication: An Analytic Framework for Real-Time Model Inference in the Core Network

    In: Proceedings of the Sixth International Balkan Conference on Communications and Networking. International Balkan Conference on Communications and Networking (BalkanCom-2023), Towards 6G at the Crossroads of Civilizations: Connected Intelligence and Sensing, June 5-8, Istanbul, Turkey, IEEE Xplore, 6/2023.

  6. Boris Belousov; Gerhard Neumann; Constantin A Rothkopf; Jan R Peters

    Catching heuristics are optimal control policies

    In: D. Lee; M. Sugiyama; U. Luxburg; I. Guyon; R. Garnett (Hrsg.). Neural Information Processing Systems. Neural Information Processing Systems (NeurIPS-2016), December 5-10, Barcelona, Spain, Vol. 29, Curran Associates, Inc. 2016.

  7. Boris Belousov; Jan Peters

    f-Divergence constrained policy improvement

    arXiv preprint arXiv:1801.00056, 2017.

  8. Boris Belousov; Jan Peters

    Entropic regularization of markov decision processes

    In: Entropy, Vol. 21, No. 7, Pages 1-16, MDPI, 7/2019.

  9. Ekta Sood; Lei Shi; Matteo Bortoletto; Yao Wang; Philipp Müller; Andreas Bulling

    Improving Neural Saliency Prediction with a Cognitive Model of Human Visual Attention

    In: Proceedings of the 45th Annual Meeting of the Cognitive Science Society (CogSci). Annual Conference of the Cognitive Science Society (CogSci-2023), July 26-29, Sydney, NSW, Australia, Cognitive Science Society, 2023.

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

    Reinforcement learning algorithms: analysis and applications

    Springer, 2021.

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