Revisiting scaling laws for reward optimization
cs.LG, cs.AI
Submitted: 2026-09-29
Updated: 2026-09-29
Terminology
Sources
- Best-of-N through the Smoothing Lens: KL Divergence and Regret Analysis
- Helping or Herding? Reward Model Ensembles Mitigate but do not Eliminate Reward Hacking
- AI Safety Gridworlds
- Categorizing Variants of Goodhart's Law
- Consequentialist Objectives and Catastrophe
- Information Theoretic Guarantees For Policy Alignment In Large Language Models
- WebGPT: Browser-assisted question-answering with human feedback
- Soft Best-of-n Sampling for Model Alignment
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