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SUMMARY:Spring 2023 GRASP SFI: Michael Chang\, University of California\, Berkeley\, “Neural Software Abstractions: Learning Abstractions for Automatically Modeling and Manipulating Systems”
DESCRIPTION:This is a hybrid event with in-person attendance in Levine 307 and virtual attendance via Zoom. This week’s presenter will be in-person as well. \nABSTRACT\nWhile it is tempting to view robotics as a nail that can be solved with the deep learning hammer\, we have seen that deep-learning based perception and action pipelines for robots are notoriously brittle and data hungry. In this talk\, I advocate for a more measured approach for designing data-driven controllers by focusing learning on task-relevant portions of the MDP. Through this philosophy\, I show that we can acquire capable learning systems that can transfer between morphologically distinct robots\, intelligently probe the environment for imperceptible reward signals\, and perform deep exploration with no priors.
URL:https://seasevents.nmsdev7.com/event/spring-2023-grasp-sfi-michael-chang/
LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
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