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Google AI recently announced a machine learning-based framework that game developers could use to train game-testing agents quickly and efficiently, freeing human testers to focus on more complicated problems. The resulting system requires no machine learning (ML) expertise, works with a wide range of popular game genres, and can train an ML policy, which generates game actions from the game state on a single game instance in less than an hour. Google AI has also provided an open-source library that shows how these techniques may be used in practice.
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