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Frank Hutter — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Frank Hutter
22
papers ·
145
citations ·
73
h-index
University of Freiburg
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
On the Importance of Hyperparameter Optimization for Model-based Reinforcement Learning
2021 · 33 citations
Contextualize Me -- The Case for Context in Reinforcement Learning
2022 · 9 citations
TempoRL: Learning When to Act
2021 · 6 citations
Learning Synthetic Environments for Reinforcement Learning with Evolution Strategies
2021 · 5 citations
Neural Architecture Evolution in Deep Reinforcement Learning for Continuous Control
2019 · 4 citations
Sample-Efficient Automated Deep Reinforcement Learning
2020 · 4 citations
Self-Paced Context Evaluation for Contextual Reinforcement Learning
2021 · 3 citations
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning
2021 · 3 citations
Learning Synthetic Environments and Reward Networks for Reinforcement Learning
2022
One-shot World Models Using a Transformer Trained on a Synthetic Prior
2024
ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning
2024
Top co-authors
Andr\'e Biedenkapp
· 5
Marius Lindauer
· 5
Theresa Eimer
· 4
Carolin Benjamins
· 3
Aditya Mohan
· 2
André Biedenkapp
· 2
Bodo Rosenhahn
· 2
Fábio Furlan Ferreira
· 2
Frederik Schubert
· 2
Gregor K\"ohler
· 2
J\"org K.H. Franke
· 2
Raghu Rajan
· 2
Topics
Meta-RL
Value-Based
Exploration
Model-Based RL
Policy Gradient
Safe RL