---
title: "Free Process Rewards"
created: 2026-04-15
updated: 2026-04-15
type: concept
tags: [rlhf, grpo, training]
sources: []
---

# Free Process Rewards

Free Process Rewards refers to the idea of obtaining process-level reinforcement learning reward signals without requiring manual annotation. This concept is explored in [[generalized-on-policy-distillation]] as a way to provide richer training signals for on-policy distillation. By leveraging existing model outputs or automated verification, free process rewards aim to reduce the cost of RL training while maintaining process-level granularity.

## Related

- [[generalized-on-policy-distillation]] — Introduces free process rewards in the G-OPD framework
- [[grpo-rl-training]] — GRPO training methodology that can leverage process rewards
- [[reinforcement-learning-from-human-feedback]] — RLHF as the broader reward framework

## References