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View, browse and sort the ever-growing list of sessions by day, time, pass type, topic, and format. With this Session Viewer, you can view session and speaker details for Game Developers Conference 2024.

You will be able to build your schedule with the GDC Mobile App. The GDC 2024 app will be available for download in Apple Apps and Google Play late February 2024.

Sessions do fill up and seating is first come, first serve, so arrive early to sessions that you would like to attend. Adding a session to your schedule does not guarantee you a seat.

Machine Learning Summit: 'SaGa Emerald Beyond': Balancing Battle with Reinforcement Learning AI

Miyake Youichiro  (Lead AI Researcher, SQUARE ENIX)

Location: Room 2010, West Hall

Date: Tuesday, March 19

Time: 10:50 am - 11:50 am

Pass Type: All Access Pass, Summits Pass - Get your pass now!

Topic: Programming

Format: Session

Vault Recording: Video

Audience Level: Intermediate

Battle system is one of the most vital parts of SaGa and costly to balance due to the huge volume of the game. We present a machine learning (ML) framework to help us balance the battle system of the latest title of the series under development, SaGa Emerald Beyond, with Reinforcement Learning (RL). We show how our game designers use the AI to help their daily work, the challenges, the detail of our in-house algorithm, and the engineering backend to deliver the system. Also, our system and algorithm are generally applicable to other games and address major key challenges on implementing reliable ML system within general production line. With this system, we can evaluate more than 700 stages in one day and find critical bugs, speeding up the QA process significantly.

Takeaway

The attendees will understand the challenges and solutions of implementing reinforcement learning on AAA game battle system, with SaGa as an example.

Intended Audience

The session is intended for AI/Gameplay Programmers, Game Designers, and people who are generally interested in game balancing/QA especially balancing battle system of AAA games. Basic knowledge of programming and reinforcement learning are not pre-requisite, but it would be helpful to have.



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