muPRL: A Mutation Testing Pipeline for Deep Reinforcement Learning based on Real Faults

Fuente: arXiv

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Bibliographic Details
Main Authors:	Thomas, Deepak-George, Biagiola, Matteo, Humbatova, Nargiz, Wardat, Mohammad, Jahangirova, Gunel, Rajan, Hridesh, Tonella, Paolo
Format:	Preprint
Published:	2024
Subjects:	Software Engineering
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2408.15150