Overview
This library simulates the process of a board game. The goal of the simulation is to predict the game process statistics depending on various parameters. From this, we can conclude which parameters are desirable to set in order to play effectively in a real game.
We design a simple board game as an reinforcement learning environment and try to solve this.
For more details, read the documention in here.
Installation
Simply install with pip:
pip install rbgame1 maintainer
Metadata
1 maintainer
Release files for rbgame 0.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| rbgame-0.0.3.tar.gz | 200.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| rbgame-0.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 393.5 kB
Release files / rbgame-0.0.3.tar.gz
| Download URL | rbgame-0.0.3.tar.gz |
|---|---|
| Size | 200.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.0.1 CPython/3.12.3
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Release files / rbgame-0.0.3-py3-none-any.whl
| Download URL | rbgame-0.0.3-py3-none-any.whl |
|---|---|
| Size | 192.8 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/6.0.1 CPython/3.12.3
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