# Dongxi NLP explains reinforcement learning terms for LLM readers

> Original title: 写给 LLM 读者的强化学习术语

- Source: Dongxi NLP
- Published: 2026-10-28T10:25:49.000Z
- Bad Influence: https://badinfluence.news/items/bbq5cn9464zuid8gpsvro8uit
- Original: https://x.com/dongxi_nlp/status/2115389565628305715

## Summary

Dongxi NLP's X article explains reinforcement learning terminology for LLM readers, using a running example of predicting the next token after "OpenAI is" in response to "Is OpenAI open?" The post walks through policy, state, action, reward, return, value, and advantage, and states that judge scores attach to whole responses rather than individual tokens. It is the fourth installment of a post-training series, following an article on LoRA and QLoRA.

## Post

https://x.com/i/article/2115385031132635138