Why Reinforcement Learning Works for LLMs: Insights from New Analyses

Recent essays by Beren Millidge and others explain why RL effectively improves LLMs: pretraining provides strong priors that make simple policy gradients work, and RL's sparse but precise, low-bias signals can still deliver large gains despite minimal bits per sample.

2026-08-16 ~ 2026-08-18 · 3 related posts

• Why RL works for LLMs: Sparse but precise signals vs. noisy pre-training — burny_tech · 2026-08-16
• Blog Explains Why LLM Reinforcement Learning Works: Priors and Low Bias — burny_tech · 2026-08-17
• Why RL Works for LLMs Despite Offering Only 1 Bit of Signal per Rollout — burny_tech · 2026-08-18