kaiyoo/AI-agent-Azul-Game-Competition
AI agent game competition - Reinforcement learning (Monte Carlo Tree Search, Deep Q-learning, Minimax)
This project offers an AI agent capable of playing the board game Azul, employing advanced strategies like Minimax and Deep Q-learning. It takes the current state of an Azul game as input and outputs the optimal next move. This would be used by researchers or enthusiasts interested in applying AI to board games, or those studying game theory and AI planning.
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Use this if you are exploring how AI algorithms like Minimax or Deep Q-learning can be effectively applied to complex board games like Azul.
Not ideal if you are looking for a general-purpose AI agent for real-world strategic decision-making beyond board games.
Stars
11
Forks
3
Language
Python
License
GPL-3.0
Category
Last pushed
Jun 22, 2022
Commits (30d)
0
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