REACT: Revealing Evolutionary Action Consequence Trajectories for Interpretable Reinforcement Learning

Philipp Altmann, Céline Davignon, Maximilian Zorn +3

To enhance the interpretability of Reinforcement Learning (RL), we propose Revealing Evolutionary Action Consequence Trajectories (REACT). In contrast to the prevalent practice of…