About the talk
As games continue to build diverse and dynamic gaming experiences there is constant pressure to be able to iterate quickly, adjust NPC behavior and create more and more dynamic content. Within this context, in this session, we will:
– Explore Use Cases: The wide variety of ways that these reinforcement learning techniques can be applied in games of all kinds
– Discuss: Telemetry and player data collection methodologies as input to some of these models
– Demo: See how Databricks can help you scale: Experience data generation, efficient training on CPU and GPU, experimentation with managed MLFlow, deployment of models and governance of assets, usage and monitoring of training workflows
– Explain How: To enable this dynamism for your future titles
You will leave this session with new ideas on how this might apply: ones that are feasible today and aspirational, more challenging, use cases for the future.
Bringing together the leading experts in AI for the video games industry.