This repository houses the data and models (dynamics, reward, and trained agents) for the paper "SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning" and accompany the code found here on Github. This version in particular corresponds to the results presented in at in the arXiv paper. A video abstract of the work can be found here.