Metadata-Version: 2.1
Name: mctspy
Version: 0.1.1
Summary: Python implementation of monte carlo tree search for 2 players zero-sum game 
Home-page: https://github.com/int8/monte-carlo-tree-search
Author: Kamil Czarnogórski
License: UNKNOWN
Description: ## mctspy : python implementation of Monte Carlo Tree Search algorithm
        
         
        Basic python implementation of [Monte Carlo Tree Search](https://int8.io/monte-carlo-tree-search-beginners-guide) (MCTS) intended to run on small game trees. 
         
        
        ### Installation
        
        ```
        pip3 install mctspy
        ``` 
        
        ### Running tic-tac-toe example 
        
        to run tic-tac-toe example:
        
        ```python
        
        import numpy as np
        from mctspy.tree.nodes import TwoPlayersGameMonteCarloTreeSearchNode
        from mctspy.tree.search import MonteCarloTreeSearch
        from mctspy.games.examples.tictactoe import TicTacToeGameState
        
        state = np.zeros((3,3))
        initial_board_state = TicTacToeGameState(state = state, next_to_move=1)
        
        root = TwoPlayersGameMonteCarloTreeSearchNode(state = initial_board_state)
        mcts = MonteCarloTreeSearch(root)
        best_node = mcts.best_action(10000)
        
        ```
        
        
        ### Running MCTS for your own 2 players zero-sum game 
        
        If you want to apply MCTS for your own game, its state implementation should derive from  
        `mmctspy.games.common.TwoPlayersGameState` 
        
        (lookup `mctspy.games.examples.tictactoe.TicTacToeGameState` for inspiration)
Keywords: mcts monte carlo tree search
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.5.7
Description-Content-Type: text/markdown
