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Deep Reinforcement Learning for Game Testing at EA with Konrad Tollmar - #517

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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AI in Glitch Detection for Video Games

This chapter explores the use of convolutional neural networks and reinforcement learning to automate the detection of glitches in video games, enhancing testing efficiency. It discusses the implementation of a curiosity-driven agent that processes images to identify glitches, tailoring models for different game types and examining the broader implications of AI in game development.

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