Supplementary Material For Optimization Methods for Interpretable Differentiable Decision Trees Applied to Reinforcement Learning

2020

Subfields: Reinforcement Learning, Safety, Robustness & Interpretability

Citations in the corpus

• Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges (2021, methodology): “One natural way to include interpretability in a reinforcement learning system is by representing the policy or value function by a decision tree or rule list [248, 272].”