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Publikationen

Zeige Ergebnisse 1381 bis 1390 von 15049.

  1. Emilia Pietras; Stephanie Hall; Bernd Kiefer; Jeppe Langaa; Guglielmo Borzone; Mandeep Dhanda; Aljaz Kramberger; Vimal Dhokia; Norbert Krüger; Leon Bodenhagen

    Toward Adaptive Robot Behavior for Interdependent Human-Robot Teams

    In: Proceedings of ICRA 2024. ICRA Workshop Dynamic Duos: Human-Robot Co-Worker Adaptation in Manufacturing, located at ICRA-2024, May 13, Yokohama, Japan, IEEE, 2024.

  2. Antonio Macaluso

    Quantum Supervised Learning

    In: KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. (KI), Vol. 1, Pages 1-15, Springer, 2024.

  3. Valerio Giustino; Ignazio Leale; Luca Cicero; Luca Petrigna; Monica Lo Nigro; Veronica Fontana; Elena Mignosi; Pietro Cataldo; Antonio Macaluso; Manuel Gómez-López; Giovanni Cassata; Giuseppe Battaglia

    Acute effects of a dog sport on fitness parameters in young adults: a randomised controlled crossover study

    In: Human Movement (Hum Mov), Vol. 25, No. 4, Pages 138-146, Wroclaw University of Health and Sport Sciences, 2024.

  4. Alexander Schultheis

    Exploring a Hybrid Case-Based Reasoning Approach for Time Series Adaptation in Predictive Maintenance

    In: Lukas Malburg (Hrsg.). Proceedings of the Workshops at the 32nd International Conference on Case-Based Reasoning (ICCBR-WS 2024). International Conference on Case-Based Reasoning (ICCBR-2024), co-located with the 31st International Conference on Case-Based Reasoning (ICCBR 2024), located at 31st International Conference on Case-Based Reasoning (ICCBR 2024), July 1-5, Merida, Mexico, CEUR Workshop Proceedings, CEUR-WS.org. 7/2024.

  5. T. Vincent; F. Wahren; Jan Peters; B. Belousov; C. D'Eramo

    Adaptive Q-Network: On-the-fly Target Selection for Deep Reinforcement Learning

    In: ICML Workshop on Automated Reinforcement Learning. International Conference on Machine Learning (ICML-2024), ICML, 2024.

  6. F. Al-Hafez; G. Zhao; Jan Peters; D. Tateo

    Time-Efficient Reinforcement Learning with Stochastic Stateful Policies

    In: 17th European Workshop on Reinforcement Learning (EWRL 2024). European Workshop on Reinforcement Learning (EWRL-2024), EWRL, 2024.

  7. N. Funk; J. Urain; J. Carvalho; V. Prasad; G. Chalvatzaki; Jan Peters

    ActionFlow: Efficient, Accurate, and Fast Policies with Spatially Symmetric Flow Matching

    In: R:SS workshop: Structural Priors as Inductive Biases for Learning Robot Dynamics. Robotics: Science and Systems (RSS-2024), R:SS, 2024.

  8. N. Bohlinger; D. Tateo; P. Kicki; K. Walas; Jan Peters

    Benefits of an Actuated Spine in Agile Quadruped Locomotion

    In: ICRA 2024 Workshop on Bio-inspired Robotics and Robotics for Biology. IEEE International Conference on Robotics and Automation (ICRA), IEEE, 2024.

  9. N. Bohlinger; G. Czechmanowski; M. Krupka; P. Kicki; K. Walas; Jan Peters; D. Tateo

    One Policy to Run Them All: Towards an End-to-end Learning Approach to Multi-Embodiment Locomotion

    In: RSS 2024 Workshop on Embodiment-Aware Robot Learning. Robotics: Science and Systems (RSS-2024), RSS, 2024.

  10. T.L. Faust; H. Maraqten; E. Aghadavoodi; B. Belousov; Jan Peters

    Velocity-History-Based Soft Actor-Critic: Tackling IROS'24 Competition AI Olympics with RealAIGym

    In: IROS'24 Competition AI Olympics with RealAIGym. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2024), IROS, 2024.

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