Zobrazeno 1 - 10
of 142 580
pro vyhledávání: '"Hirt, A"'
Autor:
Zhang, Jianke, Guo, Yanjiang, Chen, Xiaoyu, Wang, Yen-Jen, Hu, Yucheng, Shi, Chengming, Chen, Jianyu
Publikováno v:
CoRL2024
Large Vision-Language-Action (VLA) models, leveraging powerful pre trained Vision-Language Models (VLMs) backends, have shown promise in robotic control due to their impressive generalization ability. However, the success comes at a cost. Their relia
Externí odkaz:
http://arxiv.org/abs/2410.05273
Autor:
UHLMANN, von Angelika1
Publikováno v:
Revue d'Allemagne et des Pays de Langue Allemande. 2011, Vol. 43 Issue 3, p333-340. 8p.
Autor:
Goble, Dale D., Hirt, Paul
Publikováno v:
Environmental History, 2005 Oct 01. 10(4), 776-792.
Externí odkaz:
https://www.jstor.org/stable/3986185
Autor:
Doris Edelmann
Publikováno v:
Schweizerische Zeitschrift für Bildungswissenschaften, Vol 45, Iss 3 (2023)
Externí odkaz:
https://doaj.org/article/3bf69d8e1aec4a7c884fd40a7df929c2
Autor:
Milano, Brett
Publikováno v:
Offbeat. May2024, p1-1. 1p. 1 Color Photograph, 1 Black and White Photograph.
Autor:
Tabassum, Yasmeen1 yasmeentabassum111@gmail.com, Javaid, Amna2, Nazir, Nazia3, Iqbal, Muhammad Amir4, Iqbal Butt, Muhammad Zafar5, Roohi, Nabila6
Publikováno v:
Journal of Pharmaceutical Negative Results. 2023, Vol. 14 Issue 4, p410-414. 5p.
Autor:
Yabusaki, Ryo1 (AUTHOR) ryo.yabuchan@gmail.com, Arai, Ayako1 (AUTHOR), Odagaki, Yu2 (AUTHOR), Nakashima, Jun1 (AUTHOR), Nakamura, Ken3 (AUTHOR), Ishikawa, Hitoshi4 (AUTHOR), Okonogi, Noriyuki5 (AUTHOR), Aoki, Shuri4 (AUTHOR), Tsuji, Hiroshi4 (AUTHOR), Ozu, Choichiro1 (AUTHOR)
Publikováno v:
Journal of Surgical Case Reports. Aug2024, Vol. 2024 Issue 8, p1-3. 3p.
Autor:
Zimmer, Jürgen
Publikováno v:
Jahrbuch der Berliner Museen, 1999 Jan 01. 41, 133-194.
Externí odkaz:
https://www.jstor.org/stable/4126011
Autor:
Hirt, Sebastian, Höhl, Andreas, Pohlodek, Johannes, Schaeffer, Joachim, Pfefferkorn, Maik, Braatz, Richard D., Findeisen, Rolf
Model predictive control (MPC) is a powerful tool for controlling complex nonlinear systems under constraints, but often struggles with model uncertainties and the design of suitable cost functions. To address these challenges, we discuss an approach
Externí odkaz:
http://arxiv.org/abs/2410.04982
Safe learning of control policies remains challenging, both in optimal control and reinforcement learning. In this article, we consider safe learning of parametrized predictive controllers that operate with incomplete information about the underlying
Externí odkaz:
http://arxiv.org/abs/2409.10171