Code for "SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning" by Zolman et al.

a collection of modern sparse (regularized) linear regression algorithms.

AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.

Physically-informed model discovery of systems with nonlinear, rational terms using the SINDy-PI method. Contains functionality for spectral filtering/differentiation.

MEDIDA: Model Error Discovery with Interpretability and Data Assimilation