No project description provided
Project description
A Python package for Deep Statistical Model Checking of Deep Reinforcement Learning agents. DSMC-Tool allows users to evaluate RL agents based on a wide array of properties, making it an essential tool for ensuring robust agent performance. The package is developed to be fully compatible with Gymnasium environments.
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
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
File details
Details for the file dsmc_tool-0.1.7.tar.gz.
File metadata
- Download URL: dsmc_tool-0.1.7.tar.gz
- Upload date:
- Size: 680.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8c1d41e7829872a9dd7e74a287471386b68a3a8c1f2467f03a5987c77c895312
|
|
| MD5 |
23413172614a47dc6365134dd6f7244d
|
|
| BLAKE2b-256 |
16313e1de1a2be551825d408353bddd39345896d4b97aba7f2aa52e37493a916
|
File details
Details for the file dsmc_tool-0.1.7-py3-none-any.whl.
File metadata
- Download URL: dsmc_tool-0.1.7-py3-none-any.whl
- Upload date:
- Size: 696.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.12.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
3caa427f1611baa121b726ad74624fff23c2e715f8b9aa60ae7ad096ac800f1f
|
|
| MD5 |
8439eea30e9ed006afa9e9b2f1613bd9
|
|
| BLAKE2b-256 |
02d7ac9f685e130c1dc180fc133ed5f5ef028989eba9afe42d2ef855acd27b37
|
