most citedContextualize Me -- The Case for Context in Reinforcement Learning

9 citations · 9 across the 2 of their papers we have counts for

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cs.LG2025

carps: A Framework for Comparing N Hyperparameter Optimizers on M Benchmarks

Carolin Benjamins, Helena Graf, Sarah Segel +14

Hyperparameter Optimization (HPO) is crucial to develop well-performing machine learning models. In order to ease prototyping and benchmarking of HPO methods, we propose carps, a b…

cs.LG2022★ 9 cited

Contextualize Me -- The Case for Context in Reinforcement Learning

Carolin Benjamins, Theresa Eimer, Frederik Schubert +6

While Reinforcement Learning ( RL) has made great strides towards solving increasingly complicated problems, many algorithms are still brittle to even slight environmental changes.…