vwxyzjn / cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Why this job: says: reinforcement learning; topics: reinforcement-learning
What it does
CleanRL is a Deep Reinforcement Learning library that provides high-quality single-file implementation with research-friendly features. The implementation is clean and simple, yet we can scale it to run thousands of experiments using AWS Batch. The highlight features of CleanRL are:
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 6 months ago
- Stars
- 10,678
- +34 this week
- Licence
- Custom
- Read before business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.0.0
- Released 3 years ago
- Built with
- Python
- 94% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 68% closed
- 70 still open
- Pull requests
- 226 merged
- 40 waiting
- Releases
- 18
- 0 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 94%
- Shell 6%
- HCL 1%
- Dockerfile <1%
Topics
- wandb
- reinforcement-learning
- pytorch
- python
- gym
- machine-learning
- deep-reinforcement-learning
- deep-learning
- atari
- ale
- a2c
- proximal-policy-optimization
Project record
- JobFine-tuning
- StatusListed
- Commits843
- Forks1,195
- Watching47
- Stars in 28 days+127
- CreatedJun 7, 2019
- First seen by usNov 7, 2026
- CheckedNov 8, 2026