YuvrajSingh-mist / NeatRL
Readable single-file PyTorch implementations of deep RL algorithms
Why this job: works in the areas we cover, but does not say which job it does
What it does
- Single-file implementations. Each algorithm lives entirely in one self-contained file -- no hunting across modules
- Experiment Tracking. Built-in support for Weights & Biases logging
- Gymnasium Compatible. Works with Gymnasium environments and adding many more!
- Atari Support. Full support for Atari games with automatic CNN architectures
- Parallel Training. Vectorized environments for faster data collection
Get started
pip install neatrl- Maintenance
- Active
- Last commit 3 days ago
- Stars
- 238
- +1 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.0.0
- Released 37 days ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- None
- No issues filed
- Pull requests
- 3 merged
- 0 waiting
- Releases
- 1
- 1 in the last year
- No contributing guide
- No security policy
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| google-research / google-research | 39,158 | yesterday | Apache-2.0 | No downloads |
More: languages, topics and project record
Languages
- Python 100%
- JavaScript <1%
- Makefile <1%
Topics
- deep-reinforcement-learning
- reinforcement-learning
- a2c
- actor-critic
- atari
- ddpg
- dqn
- educational
- experience-replay
- from-scratch
- gymnasium
- machine-learning
Project record
- JobOther AI tools
- StatusListed
- Commits250
- Forks22
- Watching4
- Stars in 28 days+7
- CreatedJan 27, 2025
- First seen by usNov 7, 2026
- CheckedNov 10, 2026