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 Game Testing: NPCs and Exploration
This chapter explores the integration of deep reinforcement learning in game testing, particularly focusing on the development of believable NPCs and their behavior. It discusses challenges in testing complex 3D environments, the role of automated agents, and innovative strategies like curiosity-driven models for enhancing exploration. Additionally, the chapter highlights the importance of adaptability in models to keep pace with evolving game dynamics and improve overall player experience.
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