What is Explainable Reinforcement Learning (XRL)?
Explainable
Reinforcement Learning (XRL) is a field that combines principles from
reinforcement learning and explainability to develop models that can provide understandable explanations for their decisions and actions. XRL aims to enhance the transparency and interpretability of
reinforcement learning algorithms in complex environments.
