Co-Learning: code learning for multi-agent reinforcement collaborative framework with conversational natural language interfaces

Co-Learning: code learning for multi-agent reinforcement collaborative framework with conversational natural language interfaces

Online question-and-answer (Q&A) systems based on the Large Language Model (LLM) have progressively diverged from recreational to professional use. However, beginners in programming often struggle to correct code errors independently, limiting their learning efficiency. This paper proposed a...

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Bibliographic Details
Main Authors: Jiapeng Yu, Yuqian Wu, Yajing Zhan, Wenhao Guo, Zhou Xu, Raymond Lee
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Artificial Intelligence
Subjects:
multi-agent
large language model
reinforcement learning
prompting
education
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2025.1431003/full
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