A Python implementation of Counterfactual Regret Minimization (CFR).
Project description
A Python library for building the game trees of zero-sum imperfect information games and solving for their Nash equilibrium using Counterfactual Regret Minimization (CFR).
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 Distributions
No source distribution files available for this release.See tutorial on generating distribution archives.
Built Distribution
File details
Details for the file openCFR-1.0.0-py3-none-any.whl.
File metadata
- Download URL: openCFR-1.0.0-py3-none-any.whl
- Upload date:
- Size: 3.6 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.9.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 052cb10b279f5a9846b64c0c7406623386d59bbe5d9ee3d4de029fd1fc1ed1e3 |
|
| MD5 | 23e49390bd60bc78f7418a4f6bd14a91 |
|
| BLAKE2b-256 | 703ba42223b5589134f33a9a155989a7bf980d6d8021e460774a79aa3cf38478 |
