jbradberry/mcts
Board game AI implementations using Monte Carlo Tree Search
This project offers pre-built AI opponents for board games, using advanced search algorithms to make intelligent moves. It takes the current state of a board game as input and outputs the AI's chosen next move. Game developers or designers can use this to integrate strong computer players into their board game applications.
184 stars. No commits in the last 6 months.
Use this if you are a game developer needing to add intelligent AI opponents to board games like Tic-Tac-Toe, Reversi, or Connect Four.
Not ideal if you are looking for a general-purpose AI for complex strategic games beyond typical board games, or if you are not a developer.
Stars
184
Forks
33
Language
Python
License
MIT
Category
Last pushed
Apr 19, 2020
Commits (30d)
0
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