[Mobilizeplans-starstudents] TODAY Sergey Levine Mobilize Center Seminar

[Diane Bush]

Our next Mobilize Center Seminar is scheduled for TODAY Thursday, March 9, and features Sergey Levine from the University of California, Berkeley.  We look forward to seeing you!

TITLE:
Deep Reinforcement Learning in Robotics

WHEN:
Thursday, March 9
noon - 1 pm

WHERE:
Y2E2 300, Stanford University

Abstract:
Robotic learning has long held the promise of automating the design of complex robotic behavioral skills. However, effective deployment of robotic learning typically hinged on the design of suitable controller representations, from splines to dynamic movement primitives. Expressive, high-capacity models such as deep neural networks have proven to be exceptionally proficient at reducing or removing the need for manual representation design in a range of fields, from computer vision to machine translation to speech processing. Could the same kind of transformation take place in robotic learning? In this talk, I will discuss recent advances in deep reinforcement learning that have enabled the automation of controller design for robotic hands, complex manipulation skills, and locomotion. I will discuss the tradeoffs between various reinforcement learning methods, present some recent experimental results, and discuss ongoing challenges in this new field.

Bio:
Sergey Levine received a BS and MS in Computer Science from Stanford University in 2009, and a Ph.D. in Computer Science from Stanford University in 2014. He joined the faculty of the Department of Electrical Engineering and Computer Sciences at UC Berkeley in fall 2016. His work focuses on machine learning for decision making and control, with an emphasis on deep learning and reinforcement learning algorithms. Applications of his work include autonomous robots and vehicles, as well as computer vision and graphics. His research includes developing algorithms for end-to-end training of deep neural network policies that combine perception and control, scalable algorithms for inverse reinforcement learning, deep reinforcement learning algorithms, and more.

Please see Mobilize Events<http://mobilize.stanford.edu/events/> for a list of upcoming speakers.

Diane Bush
Assistant to Professor Scott Delp
NMBL, Mobilize Center, OpenSim
Stanford University
dbush1 at stanford.edu<mailto:dbush1 at stanford.edu>

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