Cita APA (7a ed.)

Ackermann, J., Noukhovitch, M., Ishida, T., & Sugiyama, M. (2026). Gradient Regularization Prevents Reward Hacking in Reinforcement Learning from Human Feedback and Verifiable Rewards.

Cita Chicago Style (17a ed.)

Ackermann, Johannes, Michael Noukhovitch, Takashi Ishida, y Masashi Sugiyama. Gradient Regularization Prevents Reward Hacking in Reinforcement Learning from Human Feedback and Verifiable Rewards. 2026.

Cita MLA (9a ed.)

Ackermann, Johannes, et al. Gradient Regularization Prevents Reward Hacking in Reinforcement Learning from Human Feedback and Verifiable Rewards. 2026.