An implementation of the popular board game Take It Easy! to be used for Reinforcement Learning

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  • License: Apache Software License (Apache Software License 2.0)
  • Author: Magnus Maichle
  • Tags nbdev, jupyter, notebook, python
  • Requires: Python >=3.7
Classifiers

Project description

take_it_easy

The game has two modes:

“play”: In the play mode, the entire game will be simulated including drawing tiles randomly. This is usefull to play with the computer or to train an Reinforcement Learning algorithm

“input”: In input mode, the user specifies what tile has been drawn, e.g., when playing a real-life game

Install

pip install take_it_easy

How to use

To play the game with random actions:

from take_it_easy.tiles import Tiles
from take_it_easy.board import Board
from take_it_easy.play import play_random_game

board = Board()
tiles = Tiles()
play_random_game(board, tiles, return_board = True)

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Score impact: 0, potential score impact: 24
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Score impact: 0, potential score impact: 2
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Score impact: 0, potential score impact: 11
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Score impact: 0, potential score impact: 6
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Score impact: 0, potential score impact: -3
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Score impact: 0, potential score impact: -5
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Score impact: 0, potential score impact: -2
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Score impact: 0, potential score impact: -3
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Score impact: 0, potential score impact: 0
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Score impact: 0, potential score impact: -8
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Score impact: 0, potential score impact: -18
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 [ 2 -1 -1  9  4  2]
 [ 2  0 -2  9  3  2]]
Score impact: 0, potential score impact: 0
finished game with score:  0

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for majoma7 from gravatar.com majoma7

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License (Apache Software License 2.0)
  • Author: Magnus Maichle
  • Tags nbdev, jupyter, notebook, python
  • Requires: Python >=3.7
Classifiers

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