Home Insights Case studies Personalizing in-game experience using reinforcement learning

Personalizing 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.

You might also like

Solution Brief
Google Agentspace
White Paper
Agentic AI: The next evolution in enterprise automation
White Paper
Structured products: Harnessing AI-driven digitalization
White Paper
GCC leaders in India: The next wave of Fortune 500 CEOs
Futuristic clothing store display
Demo
Development Innovation Canvas

Get in touch

Let's connect! How can we reach you?

    Invalid phone format
    Please fill out this field.
    Submitting
    Personalizing in-game experience using reinforcement learning

    Thank you!

    It is very important to be in touch with you.
    We will get back to you soon. Have a great day!

    check

    Something went wrong...

    There are possible difficulties with connection or other issues.
    Please try again after some time.

    Retry