Zobrazeno 1 - 10
of 3 495
pro vyhledávání: '"Hertweck A"'
Autor:
Abdolmaleki, Abbas, Piot, Bilal, Shahriari, Bobak, Springenberg, Jost Tobias, Hertweck, Tim, Joshi, Rishabh, Oh, Junhyuk, Bloesch, Michael, Lampe, Thomas, Heess, Nicolas, Buchli, Jonas, Riedmiller, Martin
Existing preference optimization methods are mainly designed for directly learning from human feedback with the assumption that paired examples (preferred vs. dis-preferred) are available. In contrast, we propose a method that can leverage unpaired p
Externí odkaz:
http://arxiv.org/abs/2410.04166
In the field of algorithmic fairness, many fairness criteria have been proposed. Oftentimes, their proposal is only accompanied by a loose link to ideas from moral philosophy -- which makes it difficult to understand when the proposed criteria should
Externí odkaz:
http://arxiv.org/abs/2407.12488
Autor:
Lampe, Thomas, Abdolmaleki, Abbas, Bechtle, Sarah, Huang, Sandy H., Springenberg, Jost Tobias, Bloesch, Michael, Groth, Oliver, Hafner, Roland, Hertweck, Tim, Neunert, Michael, Wulfmeier, Markus, Zhang, Jingwei, Nori, Francesco, Heess, Nicolas, Riedmiller, Martin
Reinforcement learning solely from an agent's self-generated data is often believed to be infeasible for learning on real robots, due to the amount of data needed. However, if done right, agents learning from real data can be surprisingly efficient t
Externí odkaz:
http://arxiv.org/abs/2312.11374
Humans instinctively know how to neglect details when it comes to solve complex decision making problems in environments with unforeseeable variations. This abstraction process seems to be a vital property for most biological systems and helps to 'ab
Externí odkaz:
http://arxiv.org/abs/2312.09120
Autor:
Sebastian Schaefer, Raghav Vij, Jakob L. Sprague, Sophie Austermeier, Hue Dinh, Peter R. Judzewitsch, Sven Müller-Loennies, Taynara Lopes Silva, Eric Seemann, Britta Qualmann, Christian Hertweck, Kirstin Scherlach, Thomas Gutsmann, Amy K. Cain, Nathaniel Corrigan, Mark S. Gresnigt, Cyrille Boyer, Megan D. Lenardon, Sascha Brunke
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-22 (2024)
Abstract More than two million people worldwide are affected by life-threatening, invasive fungal infections annually. Candida species are the most common cause of nosocomial, invasive fungal infections and are associated with mortality rates above 4
Externí odkaz:
https://doaj.org/article/4855006eb2384c85b16fca8c8d5c88bf
Autor:
Vezzani, Giulia, Tirumala, Dhruva, Wulfmeier, Markus, Rao, Dushyant, Abdolmaleki, Abbas, Moran, Ben, Haarnoja, Tuomas, Humplik, Jan, Hafner, Roland, Neunert, Michael, Fantacci, Claudio, Hertweck, Tim, Lampe, Thomas, Sadeghi, Fereshteh, Heess, Nicolas, Riedmiller, Martin
The ability to effectively reuse prior knowledge is a key requirement when building general and flexible Reinforcement Learning (RL) agents. Skill reuse is one of the most common approaches, but current methods have considerable limitations.For examp
Externí odkaz:
http://arxiv.org/abs/2211.13743
Group fairness metrics are an established way of assessing the fairness of prediction-based decision-making systems. However, these metrics are still insufficiently linked to philosophical theories, and their moral meaning is often unclear. In this p
Externí odkaz:
http://arxiv.org/abs/2206.02897
In prediction-based decision-making systems, different perspectives can be at odds: The short-term business goals of the decision makers are often in conflict with the decision subjects' wish to be treated fairly. Balancing these two perspectives is
Externí odkaz:
http://arxiv.org/abs/2206.02891
A recent paper (Hedden 2021) has argued that most of the group fairness constraints discussed in the machine learning literature are not necessary conditions for the fairness of predictions, and hence that there are no genuine fairness metrics. This
Externí odkaz:
http://arxiv.org/abs/2204.10305
Autor:
Ingo Hartenbach, Robin F. Hertweck
Publikováno v:
Acta Crystallographica Section E: Crystallographic Communications, Vol 80, Iss 6, Pp 607-609 (2024)
Coarse colorless single crystals of lithium lutetium bis[orthomolybdate(VI)], LiLu[MoO4]2, were obtained as a by-product from a reaction aimed at lithium derivatives of lutetium molybdate. The title compound crystallizes in the scheelite structure ty
Externí odkaz:
https://doaj.org/article/288a1922cfb348118165fff9d7dd1fb7