Xianjie Zhang

The $f$-Divergence Reinforcement Learning Framework

2021 · arXiv (Cornell University)

The framework of deep reinforcement learning (DRL) provides a powerful and widely applicable mathematical formalization for sequential decision-making. This paper present a novel DRL framework, termed \emph{$f$-Divergence Reinforcement Learning (FRL)}. In FRL, the policy evaluation …

Learn to Walk with Continuous-action for Knowledge-enhanced Recommendation System

2024

Knowledge graphs are more widely utilized to enhance recommendability and explainability. Reinforcement learning agents built to wander around the knowledge graph have been successfully applied in recommendation systems in a form of multi-hop relation reasoning. …