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|Session Name:||Machine Learning Summit: Applying 'AlphaZero' to Develop AI in Turn-Based Card Games|
|Track / Format:||Machine Learning Summit|
|Overview:||This session introduces the application of AlphaZero in NetEase card games, including the difficulties of turn-based card game AI, the shortcomings of traditional AI rules and how AlphaZero solves these problems. It provides game developers with a set of procedures to develop turn-based card AI, including how to model cards, train each decks, and control difficulty.In NetEase card games, AlphaZero helps game designers to produce stronger AI with lower labor costs. Not only that, AI can also help adjust balance, improve user experience and retention.|