Shuyang Dong

Counterfactual Explanations for Continuous Action Reinforcement Learning

2025 · arXiv (Cornell University)

Reinforcement Learning (RL) has shown great promise in domains like healthcare and robotics but often struggles with adoption due to its lack of interpretability. Counterfactual explanations, which address "what if" scenarios, provide a promising avenue …