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Video: How NetEase applied reinforcement learning to build game AI

In this GDC 2020 virtual talk NetEase's Renjie Li discusses the application of reinforcement learning in NetEase games, including problems encountered and how the solutions impacted the final product.

May 6, 2020

1 Min Read
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In this GDC 2020 virtual talk NetEase's Renjie Li discusses the application of reinforcement learning in NetEase games, revealing how applying these machine learning techniques improved the game development process.

It was an intriguing presentation that offered practical insight into problems Netease has encountered during development, what solutions were tried, and what impact they had on the final product.

Li's talk was both helpful and technical, so if you missed seeing it live don't miss your chance to watch it for free on the official GDC YouTube channel!

About the GDC Vault

In addition to this presentation, the GDC Vault and its accompanying YouTube channel offers numerous other free videos, audio recordings, and slides from many of the recent Game Developers Conference events, and the service offers even more members-only content for GDC Vault subscribers.

Those who purchased All Access passes to recent events like GDC or VRDC already have full access to GDC Vault, and interested parties can apply for the individual subscription via a GDC Vault subscription page. Group subscriptions are also available: game-related schools and development studios who sign up for GDC Vault Studio Subscriptions can receive access for their entire office or company by contacting staff via the GDC Vault group subscription page

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