Curiosity-Guided Graph Neural Skill Discovery for Sparse-Reward Goal-Oriented Dialogue Systems
Goal-oriented chatbots often operate in sparse-reward settings, where meaningful feedback (task success or user satisfaction) arrives only after many dialogue turns. This makes exploration and policy learning challenging. We propose a novel hierarchical reinforcement learning (HRL) framework that performs automated ski...