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CREATED:20230104T183548Z
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SUMMARY:ASSET Seminar: \, Dinesh Jayaraman (University of Pennsylvania)
DESCRIPTION:ABSTRACT: \nAn important goal of the field sensorimotor robot learning is to do away with cumbersome expertise-intensive task specification\, so that general-purpose robots of the future might learn large numbers of new skills. In this talk\, I will discuss our recent work on algorithms that exploit goals as a versatile and accessible task specification interface. Goals might be specified through images\, language\, or physical objects\, and may either be provided by a layperson or even discovered autonomously by a robot exploring its environment. I will show how unsupervised learning from large human action datasets can train goal-conditioned value functions for robots\, how learned verification behaviors can in turn help to evaluate and acquire new skills\, and how careful model-based reasoning can help a robot discover interesting goal-based tasks in an environment with no supervision.
URL:https://seasevents.nmsdev7.com/event/asset-seminar-tba-dinesh-jayaraman-university-of-pennsylvania/
LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
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