Invited talk: Scaling reinforcement learning in the real world, from gaming to finance to manufacturing

Reinforcement learning is transforming industries from gaming to robotics to manufacturing. This talk showcases how a variety of industries are adopting reinforcement learning to overhaul their businesses, from changing the nature of game development to designing the boat that won the America's Cup. These industries leverage Ray, a distributed framework for scaling Python applications and machine learning applications. Ray is used by companies across the board from Uber to OpenAI to Shopify to Amazon to scale their machine learning training, inference, data ingest, and reinforcement learning workloads.

Bio: Robert Nishihara is one of the creators of Ray, a distributed framework for scaling Python applications and machine learning applications. Ray is used by companies across the board from Uber to OpenAI to Shopify to Amazon to scale their machine learning training, inference, data ingest, and reinforcement learning workloads. He is one of the co-founders and CEO of Anyscale, which is the company behind Ray. He did his PhD in machine learning and distributed systems in the computer science department at UC Berkeley. Before that, he majored in math at Harvard.