Temporally Interpretable Differentiable Decision Trees

Eisuke Hirota, Aarav Sane, Rohan Paleja

Interpretability offers a solution to safe autonomy by providing transparency into an agent's underlying decision-making model. Within sequential-decision making tasks, differentia…