Educational reinforcement learning laboratory
Project description
mdplab
mdplab is an educational reinforcement learning laboratory designed to accompany a textbook and teaching materials.
The library focuses on:
- Clear MDP abstractions
- Algorithmic transparency
- Compatibility with Gymnasium, PyTorch, and TorchRL
This project is under active development.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
mdplab-0.1.0.tar.gz
(14.0 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
mdplab-0.1.0-py3-none-any.whl
(13.8 kB
view details)
File details
Details for the file mdplab-0.1.0.tar.gz.
File metadata
- Download URL: mdplab-0.1.0.tar.gz
- Upload date:
- Size: 14.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9c392db854edb974d4acaf85b8ece5203fc6f1a10ae447670aaaa3adde74626e
|
|
| MD5 |
d2ccb344caa0cb8c4e7180aa0fd89e89
|
|
| BLAKE2b-256 |
506664f0184be3187b24a03ac1622c50ae9e991d748cbb3b84cf677acdb781ea
|
File details
Details for the file mdplab-0.1.0-py3-none-any.whl.
File metadata
- Download URL: mdplab-0.1.0-py3-none-any.whl
- Upload date:
- Size: 13.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b7eb182ea26a4b306a954324ca60d5514697dc4409ff600f95b3859b9bdca62b
|
|
| MD5 |
17ebcec9831c7c92c9c03a15c2c378bd
|
|
| BLAKE2b-256 |
f9791b10498b182d69cc12b4df0c6a467aa330750b63595e146decc5d2eab5b9
|
