This dataset is with the paper Efficient Heteroscedastic Bayesian Optimization for Risk-Aware AutoRL, in which we propose efficient risk-averse Bayesian optimization (BO) method ERAHBO for reinforcement learning (RL) hyperparameter optimization, to be presented at Reinforcement Learning Conference (RLC) 2026.
The data set is an extension of ARLbench dataset, with a focus on reproducibility and reliability of reinforcement learning… See the full description on the dataset page:
https://huggingface.co/datasets/autorl-org/Risk-aware_ARLbench.
