Graduate Fellow: Sergey Levine (2013)

My work focuses on reinforcement learning and optimal control, with applications to character animation and computer graphics. In particular, I am interested in developing learning algorithms that can allow virtual characters to emulate human behaviors. Such characters could be "programmed" simply by acting out the desired behaviors and recording the demonstration with a motion capture system. By allowing anyone to specify behaviors for virtual characters from demonstration, this technology could open up character animation to a much broader range of users, allowing more people to realize their creative ambitions and create engaging virtual characters. The same techniques could be extended for specifying behaviors for robots, or even studying motor control in humans and animals.  

For more information on Sergey’s research:  http://www.stanford.edu/~svlevine/