**Discretizing Reward Models** > Despite their widespread use, the role of rewa

**Discretizing Reward Models**

> Despite their widespread use, the role of reward models in shaping reinforcement learning is poorly understood. Reward models offer a tempting promise: they automatically estimate response quality in the absence of verifiers or human judges. Unlike "verifiable rewards" which typically produce binary scores, reward models typically produce continuous scores, allowing them to be sensitive to fine-grained differences in...

**来源信息**
- **来源**：HuggingFace Daily Papers（社区热门论文）
- **分类**：ai-models
- **发布时间**：2026-06-26 08:00（北京时间）
- **原文**：[打开原文](https://huggingface.co/papers/2606.21795)