Deep Learning for Decision Making and Control

Seminar | March 10 | 4-5 p.m. | Soda Hall, 306, HP Auditorium Speaker: Sergey Levine, Research Scientist, Google Sponsor: Electrical Engineering and Computer Sciences (EECS) Humans and animals have a remarkable ability to autonomously acquire new behaviors. My work is concerned with designing algorithms that aim to bring this ability to robots and other autonomous systems that must make decisions in complex, unstructured environments. A central challenge that such algorithms must address is to learn behaviors with representations that are sufficiently general and expressive to handle the wide range of motion skills that are needed for real-world applications. This requires processing complex, high-dimensional inputs and outputs, such as camera images and joint torques, and providing considerable generality to various physical platforms and behaviors. I will present an approach, called guided…


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