Cites: Gradient Regularization Mitigates Reward Hacking in Reinforcement Learning from Human Feedback and Verifiable Rewards

7 citation edges inside this catalog. A title match is weaker evidence than an identifier match. Zero entries does not mean no citations on the web.

• Sharpness-Aware Minimization for Efficiently Improving Generalization
  arxiv:2010.01412 · evidence: title
• The Primacy Bias in Deep Reinforcement Learning
  arxiv:2205.07802 · evidence: title
• Scaling Laws for Reward Model Overoptimization
  arxiv:2210.10760 · evidence: title
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
  arxiv:2402.03300 · evidence: id
• Understanding R1-Zero-Like Training: A Critical Perspective
  arxiv:2503.20783 · evidence: id
• Olmo 3
  arxiv:2512.13961 · evidence: id
• Reinforcement Learning from Human Feedback
  url:rlhfbook.com · evidence: title