A package and command line tool for Yahtzee
Project description
yahtzee
A Yahtzee-solving python package and command line tool.
The algorithm is mathematically guaranteed to have the best strategy. That is, it maximizes expected score for a single game of Yahtzee.
The command line tool (play_yahtzee
) guides you through a game and advises you on the best moves to make.
The algorithm assumes "vanilla" rules. It attains an average score of ~230 points.
Installation
Clone the repository:
$ git clone git@github.com:dpmerrell/yahtzee.git
Make sure you have python >= 3.8. I recommend using a virtual environment:
$ source my_py38_env
Install via pip:
(my_py38_env)$ cd yahtzee
(my_py38_env)$ pip install .
Congratulations! The yahtzee
package and play_yahtzee
command line tool are now installed.
Command line tool
After installation, you can run the interactive command line tool play_yahtzee
:
(my_py38_env)$ play_yahtzee
###### STARTING GAME ######
Roll all of your dice!
Enter all of your dice here:
The prompts will lead you through a game of Yahtzee and advise you on the best moves to make.
Python package
The yahtzee
python package has the following components:
- A dynamic programming algorithm that solves the whole game (
solve_game
,solve_turn
) - Precomputed results for that algorithm (
PRECOMP_STATE_VALUES
) (you can compute those results for yourself, but it will take hours) - An object-oriented interface for the algorithm to interact with a game of Yahtzee (
OptimalPlayer
,InteractiveGame
) - A command line script based on that interface (
play_interactive_game()
)
The source code is small -- look through it for details.
Algorithmic ideas
Yahtzee is a Markov Decision Process. It has convenient properties that make it straightforward to solve.
The solver uses dynamic programming to iterate through every possible state and action in a game of Yahtzee. For each state, the algorithm computes the maximal expected score (subject to the game's randomness), and the corresponding action. The algorithm stores these expected scores and optimal actions in a pair of tables. The table of actions is called the policy.
It turns out Yahtzee's state space has an interesting structure that makes it economical to
- Store a cache of expected scores for a very small number (2^13 = 8192) of states.
- At play time, recompute a small portion of the entire game's policy at the beginning of each turn.
This design strikes a balance between memory and computation. A very small number of expected values are stored, but some computation is required during the game.
(In a fully automated setting where speed matters, it may be better to just store the entire policy.)
Legal stuff
This software is distributed under an MIT license, see LICENSE.txt.
The name "Yahtzee" may or may not be trademarked. I don't know, Hasbro can get in touch with me if they have problems with what I'm doing
Project details
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
File details
Details for the file yahtzee_solve-0.0.1.tar.gz
.
File metadata
- Download URL: yahtzee_solve-0.0.1.tar.gz
- Upload date:
- Size: 100.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.4.2 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.8.0 tqdm/4.30.0 CPython/3.8.10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 50d3325b865d684bff9d8a8ad06a2aa9331350fc322d40a1e6364e6ccef177d6 |
|
MD5 | 60c40b3b40672907d0591eaaffee9987 |
|
BLAKE2b-256 | 14bc4874e68d421d5f308044210a58a1905ece7b1d73a7d9667abc2dfe58ae42 |
File details
Details for the file yahtzee_solve-0.0.1-py3-none-any.whl
.
File metadata
- Download URL: yahtzee_solve-0.0.1-py3-none-any.whl
- Upload date:
- Size: 92.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.4.2 requests/2.22.0 setuptools/45.2.0 requests-toolbelt/0.8.0 tqdm/4.30.0 CPython/3.8.10
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7d7b5ece140d8c92d25150b0602541efd681c98d6f0b13951bfafbee0acfc8e5 |
|
MD5 | 5db69f64588526f5c20686835cc54a62 |
|
BLAKE2b-256 | abc24aa1e85753b98dcd4ca582dbc1fe7722105927b819ae871ffd505187a6e4 |