ARLBench is a benchmark designed for hyperparameter optimization (HPO) in Reinforcement Learning (RL).
Detailed information can be found in the paper ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning.
Given that we conducted several thousand runs to identify meaningful HPO test settings for RL, we have compiled these results into a dataset for future research and applications.
Code: GitHub -… See the full description on the dataset page:
https://huggingface.co/datasets/autorl-org/arlbench.
