Chelsea Finn (UCBerkeley / Google Brain): Learning Generalizable Behavior through Unsupervised Interaction

Chelsea Finn is a postdoctoral fellow in Computer Science at UC Berkeley, where she works on machine learning and its intersection with robotic perception and control. She is a part of Berkeley AI Research Lab (BAIR). She recently spent time at Google Brain. Before graduate school, she received a Bachelors in EECS at MIT, where she worked on several research projects, including an assistive technology project in CSAIL and an animal biometrics project. She has also spent time at Counsyl, Google, and Sandia National Labs. She will discuss on spatiotemporal aspects of video prediction and deep spatial autoencoders for visuomotor learning.