Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Metz, Yannick"'
Efficient public transport systems are crucial for sustainable urban development as cities face increasing mobility demands. Yet, many public transport networks struggle to meet diverse user needs due to historical development, urban constraints, and
Externí odkaz:
http://arxiv.org/abs/2407.10791
AI-driven models are increasingly deployed in operational analytics solutions, for instance, in investigative journalism or the intelligence community. Current approaches face two primary challenges: ethical and privacy concerns, as well as difficult
Externí odkaz:
http://arxiv.org/abs/2401.01955
Publikováno v:
ICML2023 Interactive Learning from Implicit Human Feedback Workshop
To use reinforcement learning from human feedback (RLHF) in practical applications, it is crucial to learn reward models from diverse sources of human feedback and to consider human factors involved in providing feedback of different types. However,
Externí odkaz:
http://arxiv.org/abs/2308.04332
Autor:
Bykovets, Eugene, Metz, Yannick, El-Assady, Mennatallah, Keim, Daniel A., Buhmann, Joachim M.
While deep reinforcement learning (RL) agents have showcased strong results across many domains, a major concern is their inherent opaqueness and the safety of such systems in real-world use cases. To overcome these issues, we need agents that can qu
Externí odkaz:
http://arxiv.org/abs/2210.03649
Autor:
Bykovets, Eugene, Metz, Yannick, El-Assady, Mennatallah, Keim, Daniel A., Buhmann, Joachim M.
Robustness to adversarial perturbations has been explored in many areas of computer vision. This robustness is particularly relevant in vision-based reinforcement learning, as the actions of autonomous agents might be safety-critic or impactful in th
Externí odkaz:
http://arxiv.org/abs/2208.10481
Autor:
Metz, Yannick1 (AUTHOR), Bykovets, Eugene2 (AUTHOR), Joos, Lucas1 (AUTHOR), Keim, Daniel1 (AUTHOR), El‐Assady, Mennatallah2 (AUTHOR)
Publikováno v:
Computer Graphics Forum. Jun2023, Vol. 42 Issue 3, p397-408. 12p. 3 Diagrams, 1 Graph, 3 Maps.
Akademický článek
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Akademický článek
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Multiple challenges hinder the application of reinforcement learning algorithms in experimental and real-world use cases even with recent successes in such areas. Such challenges occur at different stages of the development and deployment of such mod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::822e6c9e6023d7f4d6d59a355fa7c6e8
Autor:
Bäumle, Benedikt, Boesecke, Ina, Buchmüller, Raphael, Metz, Yannick, Buchmüller, Juri F., Cakmak, Eren, Jentner, Wolfgang, Keim, Daniel A.
To solve VAST Mini Challenge 1, we build an interactive visualization tool that allows hypothesis testing and exploratory analysis of the data. The tool contains different visualizations for metadata and audio data analysis. To analyze the recorded b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______715::cf2980cb91deae0f7894e760ace1adff