Gradient Regularization Prevents Reward Hacking in Reinforcement Learning from Human Feedback and Verifiable Rewards

Fuente: arXiv

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Bibliographic Details
Main Authors:	Ackermann, Johannes, Noukhovitch, Michael, Ishida, Takashi, Sugiyama, Masashi
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2602.18037