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Disambiguation of "Lindauer, Marius"

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Towards Automatic Risk Adaption in Distributional Reinforcement Learning

, , , and . Reinforcement Learning for Real Life (RL4RealLife) Workshop in the 38th International Conference on Machine Learning (ICML), (July 2021)

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Erich Lindauer

Andreas Lindauer

Tanja Lindauer

Gerhard Lindauer

Klaus Lindauer

 

Other publications of authors with the same name

auto-sktime: Automated Time Series Forecasting, , and . Proceedings of the 18TH Learning and Intelligent Optimization Conference (LION), (April 2024)AMLTK: A Modular AutoML Toolkit in Python, , , , , , , and . The Journal of Open Source Software, (Aug 14, 2024)Bayesian Optimization for Protein Sequence Design: Back to Simplicity with Gaussian Processes, , , , and . AI for Accelerated Materials Design - NeurIPS Workshop 2024, (December 2024)Hyperparameters in Reinforcement Learning and How To Tune Them., , and . CoRR, (2023)PriorBand: HyperBand + Human Expert Knowledge, , , , , , , and . Workshop on Meta-Learning (MetaLearn 2022), (2022)Learning Domain-Independent Policies for Open List Selection, , , , , and . Proceedings of the 3rd ICAPS workshop on Bridging the Gap Between AI Planning and Reinforcement Learning (PRL), page 1-9. (2022)Enhancing Explainability of Hyperparameter Optimization via Bayesian Algorithm Execution, , , and . Arxiv Preprint, (Jun 11, 2022)Maschinelles Lernen in der Prozessplanung, , , and . VDI-Z, (October 2021)not peer-reviewed.Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges, , , , , , , , , and 2 other author(s). Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, (Mar 10, 2023)Funding Information: Bavarian Ministry for Economic Affairs, Infrastructure, Transport and Technology, Grant/Award Number: BAYERN DIGITAL II; Bundesministerium für Bildung und Forschung, Grant/Award Number: 01IS18036A; Deutsche Forschungsgemeinschaft (Collaborative Research Center), Grant/Award Number: SFB 876‐A3; Federal Statistical Office of Germany; Research Center “Trustworthy Data Science and Security” Funding information Funding Information: The authors of this work take full responsibilities for its content. This work was supported by the Federal Statistical Office of Germany; the Deutsche Forschungsgemeinschaft (DFG) within the Collaborative Research Center SFB 876, A3; the Research Center “Trustworthy Data Science and Security”, one of the Research Alliance centers within the https://uaruhr.de ; the German Federal Ministry of Education and Research (BMBF) under Grant No. 01IS18036A; and the Bavarian Ministry for Economic Affairs, Infrastructure, Transport and Technology through the Center for Analytics‐Data‐Applications (ADA‐Center) within the framework of “BAYERN DIGITAL II.”.AutoML: advanced tool for mining multivariate plant traits, , , and . Trends in Plant Science, 28 (12): 1451--1452 (December 2023)