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.
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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 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.