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Leveraging Machine Learning and Simulations for Better Game Mechanics (Presented by Unity Technologies)

Christopher Goy (Senior Software Engineer, Machine Learning, Unity Technologies)

Willis Kennedy (Backend Data Engineer, Machine Learning, Unity Technologies)

Location: Room 3009, West Hall

Date: Tuesday, March 17

Time: 5:30pm - 6:30pm

Pass Type: All Access Pass, Core+Summits Pass, Core Pass, Summits Pass, Expo Plus Pass, Audio Pass, Independent Games Summit Pass, VRDC Add On - Get your pass now!

Topic: Programming

Format: Sponsor Developer Summit

Vault Recording: TBD

Audience Level: All

In this session, get a practical overview on how to use machine learning and large-scale simulations to test game mechanics. With the open-source Unity ML-Agents, attendees learn how to train intelligent player bots and how to embed them with the Unity Inference Engine to run game behavior. Finally, see how to use these trained agents and run tests at scale to balance your game via a cloud-based service.


Attendees receive a valuable overview of Unity's machine learning and simulation capabilities, with a focus on how they can help solve some of the pressing challenges around game testing and balancing.

Intended Audience

Game designers, developers, level designers, and others interested in deploying bots for their NPCs or playable characters.