# 0bserver07/Study-Reinforcement-Learning

<https://repo.masters-masters.com/en/repos/0bserver07/Study-Reinforcement-Learning>

[Home](https://repo.masters-masters.com/en) › [0bserver07](https://repo.masters-masters.com/en/owners/0bserver07) › [Study-Reinforcement-Learning](https://repo.masters-masters.com/en/repos/0bserver07/Study-Reinforcement-Learning)

0bserver07/Study-Reinforcement-Learning has 168 stars on GitHub. Its RepoMasters card: Prototype tier. RL study guide — foundations through RLHF, DPO, GRPO…

| Field | Value |
| --- | --- |
| Owner | [0bserver07](https://repo.masters-masters.com/en/owners/0bserver07) |
| Stars | 168 |
| Forks | 38 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2016 |
| Topics | machine-learning, deep-learning, reinforcement-learning, agentic-rl, constitutional-ai, deepseek-r1, dpo, grpo, lecture-notes, llm-alignment |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [0bserver07/Study-Reinforcement-Learning](https://github.com/0bserver07/Study-Reinforcement-Learning) |

## Repository

RL study guide — foundations through RLHF, DPO, GRPO, RLVR, agentic RL, and offline RL. Hand-written CS294 notes, 19 lecture drafts, 5 tested exercises, citations that resolve.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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