Leverage Unity ML-Agents and Game Simulation

Launching high-quality and balanced games is hard, especially when there are numerous variables such as character attributes, level design, and difficulty progression. Learn how to use Unity ML-Agents for training bots to run game behavior and then use Game Simulation to optimize your game balance more efficiently and accurately.

Download ML-Agents here.

Sign up for the Game Simulation Beta.

Join us for a Q&A in Unity's forum after the session! We’ll be hosting a Q&A for this session on the Unity forum – this will be a space for you to provide feedback and chat directly with our team.

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Meet our hosts
Willis Kennedy Software Engineer, AI Team

Willis has been working with big data products for 5+ years. Prior to joining the AI team he worked as a data engineer on Unity Analytics. Before joining Unity he did data engineering for IBM's digital analytics products.

Chris Goy Senior Software Engineer, Machine Learning Agents project

Chris has been in the game industry for 10+ years, with a focus on tools. Previously he was a member of Nvidia’s AI Infrastructure team working on the integration of Nvidia’s in-house training and inference infrastructure with their in-house AV software stack.

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