A writer and a software engineer from Google's People + AI Research team explore the human choices that shape machine learning systems by building competing tic-tac-toe agents.
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A writer and a software engineer from Google's People + AI Research team explore the human choices that shape machine learning systems by building competing tic-tac-toe agents.
David and Yannick get started on their project to build competing machine learning systems that play tic-tac-toe. They discuss the human choices that will shape their systems along the way.
Tic-Tac-Toe the Hard Way
A writer and a software engineer from Google's People + AI Research team explore the human choices that shape machine learning systems by building competing tic-tac-toe agents.
