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📿 Parish
Minimal Reinforcement Learning Framework
Contributions are welcome!
Table Of Contents
Overview
Minimal reinforcement learning framework.
Get started with parish by installing it with $pip install parish or cloning this repository.
Roadmap
This project is being built while I learn about reinforcement learning, the roadmap for the project includes:
- Common RL Algorithms (Easily Comparable)
- Common RL Performance Tricks (Separate from Algorithms)
- Common RL Models
- Flexible/Modular Components
- Multiprocessing
- Distributed Computing
1 maintainer
Metadata
1 maintainer
Release files for parish 0.0.1.dev1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| parish-0.0.1.dev1.tar.gz | 3.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| parish-0.0.1.dev1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.4 kB
Release files / parish-0.0.1.dev1.tar.gz
| Download URL | parish-0.0.1.dev1.tar.gz |
|---|---|
| Size | 3.2 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / parish-0.0.1.dev1-py3-none-any.whl
| Download URL | parish-0.0.1.dev1-py3-none-any.whl |
|---|---|
| Size | 3.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.10.4
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