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Carolin Benjamins

Self-Adjusting Weighted Expected Improvement for Bayesian Optimization

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Jun 30, 2023
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AutoRL Hyperparameter Landscapes

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Apr 11, 2023
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Hyperparameters in Contextual RL are Highly Situational

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Dec 21, 2022
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Towards Automated Design of Bayesian Optimization via Exploratory Landscape Analysis

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Nov 17, 2022
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PI is back! Switching Acquisition Functions in Bayesian Optimization

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Nov 02, 2022
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POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning

May 23, 2022
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Contextualize Me -- The Case for Context in Reinforcement Learning

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Feb 09, 2022
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CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning

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Oct 11, 2021
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SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

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Sep 20, 2021
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