Marius Lindauer
- Papers
- 10
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Authored papers
10ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning
arXiv 2024
Hyperparameters in Reinforcement Learning and How To Tune Them
arXiv 2023
Learning Activation Functions for Sparse Neural Networks
arXiv 2023
AutoML in Heavily Constrained Applications
arXiv 2023
Contextualize Me -- The Case for Context in Reinforcement Learning
arXiv 2022
Automated Dynamic Algorithm Configuration
arXiv 2022
DACBench: A Benchmark Library for Dynamic Algorithm Configuration
arXiv 2021
Self-Paced Context Evaluation for Contextual Reinforcement Learning
arXiv 2021
Auto-PyTorch Tabular: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL
arXiv 2020
Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning
arXiv 2020
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