Lime: Explaining the predictions of any machine learning classifier

Easiest way to generate counterfactual explanations

A game theoretic approach to explain the output of any machine learning model.

Fit interpretable models. Explain blackbox machine learning.

Open-source code for paper CDT: Cascading Decision Trees for Explainable Reinforcement Learning

A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges