This repository contains a dataset of 64 .hdf5 files following the D4RL format standard, designed for use in testing offline reinforcement learning (RL) and off-policy evaluation (OPE) methods. The dataset is split into train and test files for two behavior policies (SMART and SoC) on the EpiCare environment.
The EpiCare environment, described in detail in our project repository, is a benchmark designed to mimic the challenges associated… See the full description on the dataset page: https://huggingface.co/datasets/masonhargrave/epicare.