0bserver07 / Study-Reinforcement-Learning
RL study guide — foundations through RLHF, DPO, GRPO, RLVR, agentic RL, and offline RL. Hand-written CS294 notes, 34 lecture drafts, 9 tested exercises, citations that resolve.
Why this job: says: rlhf, reinforcement learning; topics: rlhf, reinforcement-learning
What it does
This is a personal study repo, not a library. It mixes notes a person wrote (some going back to a 2017 Berkeley course) with a newer lecture series that hasn't been reviewed yet. Every doc under notes/ and reference/ says at the top whether it's hand-written, reviewed, or unreviewed. See AGENTS.md for how the repo is organized and how to work in it, with a coding agent or solo.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 6 days ago
- Stars
- 168
- On GitHub
- Licence
- Custom
- Read before business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.0.0
- Released 6 days ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 0% closed
- 1 still open
- Pull requests
- 15 merged
- 0 waiting
- Releases
- 1
- 1 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 100%
Topics
- agentic-rl
- constitutional-ai
- deep-learning
- deepseek-r1
- dpo
- grpo
- lecture-notes
- llm-alignment
- machine-learning
- policy-gradient
- ppo
- q-learning
Project record
- JobFine-tuning
- StatusListed
- Commits50
- Forks37
- Watching15
- Stars in 28 days+1
- CreatedDec 31, 2016
- First seen by usNov 7, 2026
- CheckedNov 8, 2026