Machine learning is quickly becoming essential for developers and researchers aiming to make their games or systems smarter, but complexities and technical barriers have kept it out of reach for most—until now. Danny Lange offers an overview of deep reinforcement learning, an exciting new chapter in AI’s history that is changing the way we develop and test learning algorithms that can later be used in real life. This means that we will be able to study complex behaviors in real competitive and cooperative scenarios, such as those found in industrial robotics and autonomous vehicle testing. Join Danny to learn the basics of this critical future technology and understand how it could affect your business. You’ll learn how AI agents can be trained in complex scenarios and utilize machine learning to make systems smarter and reduce human bias.
Danny Lange is vice president of AI and machine learning at Unity Technologies, where he leads multiple initiatives around applied artificial intelligence. Previously, Danny was head of machine learning at Uber, where he led the efforts to build a highly scalable machine learning platform to support all parts of Uber’s business, from the Uber app to self-driving cars; general manager of Amazon Machine Learning, where he provided internal teams with access to machine intelligence and launched an AWS product that offers machine learning as a cloud service to the public; principal development manager at Microsoft, where he led a product team focused on large-scale machine learning for big data; CTO of General Magic, Inc.; and founder of his own company, Vocomo Software, where he worked on General Motor’s OnStar Virtual Advisor, one of the largest deployments of an intelligent personal assistant until Siri. Danny started his career as a computer scientist at IBM Research. He is a member of ACM and IEEE Computer Society and has numerous patents to his credit. Danny holds an MS and PhD in computer science from the Technical University of Denmark.
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