Assessing the Interpretability of Programmatic Policies with Large Language Models

Fuente: arXiv

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Bibliographic Details
Main Authors:	Bashir, Zahra, Bowling, Michael, Lelis, Levi H. S.
Format:	Preprint
Published:	2023
Subjects:	Artificial Intelligence Programming Languages Software Engineering
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2311.06979