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Dark landscape as an example of personalization in-game experience using reinforcement learning
Dark landscape as an example of personalization in-game experience using reinforcement learning

Personalizing in-game experience using reinforcement learning

To improve the gaming experience for players, a leading video game publisher sought to personalize in-game interactions, streamline model development, and increase long-term engagement and lifetime value (LTV) of users. Grid Dynamics addressed these challenges by implementing a reinforcement learning-based personalization platform, successfully delivering a minimum viable product (MVP) within just 8 weeks.

This innovative solution significantly improved user engagement, achieving up to a 25% increase in dollar-per-user metrics compared to existing baselines. The result is a more immersive and tailored gaming experience that not only captivates players but also fosters lasting loyalty and value for the publisher.

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