Our paper on explainable RL was accepted to L-CSS!

Our paper “On Generating Explanations for Reinforcement Learning Policies: An Empirical Study” was accepted to IEEE Control Systems Letters! We present a local-search method for explaining reinforcement learning policies using temporal logic. This work was led by Miki Yuasa.

Check out the paper!