most citedTalkToAgent: A Human-centric Explanation of Reinforcement Learning Agents with Large Language Models

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cs.AI2025★ 2 cited

TalkToAgent: A Human-centric Explanation of Reinforcement Learning Agents with Large Language Models

Haechang Kim, Hao Chen, Can Li +1

Explainable Reinforcement Learning (XRL) has emerged as a promising approach in improving the transparency of Reinforcement Learning (RL) agents. However, there remains a gap betwe…

cs.AI2024

FaultExplainer: Leveraging Large Language Models for Interpretable Fault Detection and Diagnosis

Abdullah Khan, Rahul Nahar, Hao Chen +2

Machine learning algorithms are increasingly being applied to fault detection and diagnosis (FDD) in chemical processes. However, existing data-driven FDD platforms often lack inte…