Kejia Wan

Unraveling Explainable Reinforcement Learning Using Behavior Tree Structures

The black-box characteristic of deep reinforcement learning restricts the safe and scalable application of decision models in practical deployment. Existing interpretability methods for deep reinforcement learning models are often inadequate in providing comprehensive insights and generating logical…