# TalkToAgent: A multi-agent LLM Framework for natural language explanation of reinforcement learning policies

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/talktoagent-a-multi-agent-llm-framework-for-natural-language-explanation-of/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Haechang Kim,Hao Chen,Can Li,Jong Min Lee |
| Citations | 1 |
| DOI | 10.1016/j.compchemeng.2026.109672 |
| Fields | Computer Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W7155021021 |
| Type | article |
| Year | 2026 |

## Paper authors

- [Haechang Kim](https://scholariq.org/researchers/haechang-kim/)

## Paper journal

- [Computers & Chemical Engineering](https://scholariq.org/journals/computers-and-chemical-engineering/)

## Paper primary topic

- [Explainable Artificial Intelligence (XAI)](https://scholariq.org/topics/explainable-artificial-intelligence-xai/)

## Paper topics

- [Explainable Artificial Intelligence (XAI)](https://scholariq.org/topics/explainable-artificial-intelligence-xai/)
- [Reinforcement Learning in Robotics](https://scholariq.org/topics/reinforcement-learning-in-robotics/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.