BET: Explaining Deep Reinforcement Learning through The Error-Prone Decisions

no code implementations • 14 Jan 2024 • Xiao Liu, Jie Zhao, Wubing Chen, Mao Tan, Yongxing Su

To address this issue, we propose a novel self-interpretable structure, named Backbone Extract Tree (BET), to better explain the agent's behavior by identify the error-prone states.

Decision Making reinforcement-learning +2