The Number One Educational Resource for the Game Industry
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Overview:
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In this session, Colin and Andreas present their experience making the machine learning (ML)-based vehicle AI system in Star Wars Outlaws. They discuss why they chose an ML-based solution and the advantages it provides over alternatives. Additionally, they present their training pipeline and why making it reliable and easy-to-use was critical to making the solution work in a fast-paced production environment. They also highlight the difficulty of fine-tuning an ML solution and give examples for when it is best to adjust the ML model and when to use a non-ML solution to get the desired behavior. Finally, they detail how the models were evaluated and compared an especially tricky issue as ML models may behave differently in new situations.
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