Winnie Xu.
ICLR 2019 Task-Agnostic Reinforcement Learning Workshop
Younggyo Seo
Changyeon Kim
Description: Lisa Lee's homepage
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Lisa Lee is a Research Scientist at Google Brain, working on embodied intelligence for robotics. She completed her PhD in Machine Learning at Carnegie Mellon University, advised by Ruslan Salakhutdinov and Eric Xing . She graduated summa cum laude with an A.B. in Mathematics from Princeton University, where she was advised by Sanjeev Arora .
I am interested in building AI agents that can learn and adapt like humans and animals do, with the following desiderata: It perceives the physical world and acts according to its understanding of the world. It competes , cooperates , and communicates with other “living” entities. It is born with inductive biases accrued from billions of years of evolution. It keeps a memory of the past, and anticipates the future using learned biases. It performs abstract reasoning to plan ahead, learn higher-order skills,
I am most excited about bringing computer bits to “life”. When I was little, I felt an attachment to digital pets which are just binary bits in the computer; a snowman that I tried to save in the fridge one spring; and other non-living, not-necessarily-physical things. My childhood dream was to make Pokemon creatures real by building intelligent Pokemon robots. I still feel driven by the same childhood yearning.
Winnie Xu.
ICLR 2019 Task-Agnostic Reinforcement Learning Workshop
Younggyo Seo
Changyeon Kim