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April 10-11, 2018: Training
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Beijing, CN

Democratizing deep reinforcement learning

This will be presented in English.

Danny Lange (Unity Technologies)
10:1510:30 Thursday, April 12, 2018
英文讲话 (Presented in English)
Location: 紫金大厅A(Grand Hall A)
Secondary topics:  增强学习(Reinforcement Learning)

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.

机器学习是一项颠覆性的技术,它对开发和研究人员都非常重要,可以让他们的游戏或系统更加的智能。但是,复杂性和技术障碍让机器学习长期以来无法得到应用,直到最近。本演讲将会介绍AI历史上一个令人激动的新篇章,它将会改变我们开发和测试的那些会用于现实生活的学习算法的方式。这意味着我们能够在真实的竞争与合作场景下学习复杂的行为,诸如在工业机器人和无人驾驶测试的场景里。听众将能理解这一关键未来技术的基石,以及它将如何影响你的业务。听众还将学习AI代理如何在复杂的场景下被训练,以及使用机器学习来让他们的系统更智能,降低人为的偏差。

Photo of Danny Lange

Danny Lange

Unity Technologies

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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