Playing Connect Four with Deep Q-Learning

# Playing Connect Four with Deep Q-Learning Researchers trained an AI to master Connect Four by teaching it to learn from playing thousands of games and remembering patterns that lead to winning—similar to how you'd get better at the game by playing repeatedly and reflecting on what works. This approach shows how AI can figure out strategy in competitive games where multiple players are involved, which is harder than teaching AI to beat a single opponent. The breakthrough matters because these same learning techniques could eventually help AI handle real-world situations where multiple parties compete or have conflicting goals, like in business negotiations or resource planning.
Solving multiplayer games with function approximation The post Playing Connect Four with Deep Q-Learning appeared first on Towards Data Science.
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