2022
Explainable Reinforcement Learning via Model Transforms
Mira Finkelstein, Nitsan Schlotterbeck levy, Lucy Liu, Yoav Kolumbus, David C. Parkes, Jeffrey Rosenschein +1
NeurIPS 2022accept
Understanding emerging behaviors of reinforcement learning (RL) agents may be difficult since such agents are often trained in complex environments using highly complex decision making procedures. This has given rise to a variety of approaches to explainability in RL that aim to reconcile discrepanc…