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pro vyhledávání: '"Krasowski A"'
Modeling dynamical biological systems is key for understanding, predicting, and controlling complex biological behaviors. Traditional methods for identifying governing equations, such as ordinary differential equations (ODEs), typically require exten
Externí odkaz:
http://arxiv.org/abs/2412.15227
Autor:
Naujoks, Jonas R., Krasowski, Aleksander, Weckbecker, Moritz, Wiegand, Thomas, Lapuschkin, Sebastian, Samek, Wojciech, Klausen, René P.
Recently, physics-informed neural networks (PINNs) have emerged as a flexible and promising application of deep learning to partial differential equations in the physical sciences. While offering strong performance and competitive inference speeds on
Externí odkaz:
http://arxiv.org/abs/2409.08958
Autor:
Stolz, Roland, Krasowski, Hanna, Thumm, Jakob, Eichelbeck, Michael, Gassert, Philipp, Althoff, Matthias
Continuous action spaces in reinforcement learning (RL) are commonly defined as multidimensional intervals. While intervals usually reflect the action boundaries for tasks well, they can be challenging for learning because the typically large global
Externí odkaz:
http://arxiv.org/abs/2406.03704
Autor:
Krasowski, Hanna, Althoff, Matthias
For safe operation, autonomous vehicles have to obey traffic rules that are set forth in legal documents formulated in natural language. Temporal logic is a suitable concept to formalize such traffic rules. Still, temporal logic rules often result in
Externí odkaz:
http://arxiv.org/abs/2402.08502
Autor:
Doering, Andreas, Wiggert, Marius, Krasowski, Hanna, Doshi, Manan, Lermusiaux, Pierre F. J., Tomlin, Claire J.
Low-propulsion vessels can take advantage of powerful ocean currents to navigate towards a destination. Recent results demonstrated that vessels can reach their destination with high probability despite forecast errors. However, these results do not
Externí odkaz:
http://arxiv.org/abs/2307.01917
Autor:
Killer, Matthias, Wiggert, Marius, Krasowski, Hanna, Doshi, Manan, Lermusiaux, Pierre F. J., Tomlin, Claire J.
Seaweed biomass offers significant potential for climate mitigation, but large-scale, autonomous open-ocean farms are required to fully exploit it. Such farms typically have low propulsion and are heavily influenced by ocean currents. We want to desi
Externí odkaz:
http://arxiv.org/abs/2307.01916
Vanilla Reinforcement Learning (RL) can efficiently solve complex tasks but does not provide any guarantees on system behavior. To bridge this gap, we propose a three-step safe RL procedure for continuous action spaces that provides probabilistic gua
Externí odkaz:
http://arxiv.org/abs/2212.06129
Autor:
Alex Belzer, Matthew D. Krasowski
Publikováno v:
Toxicology Reports, Vol 12, Iss , Pp 331-337 (2024)
Methemoglobinemia is a potentially life-threatening condition caused by the formation of methemoglobin, a form of hemoglobin that cannot bind oxygen. While there are some rare congenital causes of methemoglobinemia, most cases are acquired from the e
Externí odkaz:
https://doaj.org/article/5b0e22edbd6f4a96b85911249f6e1af4
While reinforcement learning produces very promising results for many applications, its main disadvantage is the lack of safety guarantees, which prevents its use in safety-critical systems. In this work, we address this issue by a safety shield for
Externí odkaz:
http://arxiv.org/abs/2210.10691
Autor:
Krasowski, Hanna, Thumm, Jakob, Müller, Marlon, Schäfer, Lukas, Wang, Xiao, Althoff, Matthias
Publikováno v:
Transactions on Machine Learning Research, 2023
Ensuring the safety of reinforcement learning (RL) algorithms is crucial to unlock their potential for many real-world tasks. However, vanilla RL and most safe RL approaches do not guarantee safety. In recent years, several methods have been proposed
Externí odkaz:
http://arxiv.org/abs/2205.06750