BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Penn Engineering Events - ECPv6.15.18//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Penn Engineering Events
X-ORIGINAL-URL:https://seasevents.nmsdev7.com
X-WR-CALDESC:Events for Penn Engineering Events
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20220313T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20221106T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20230312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20231105T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20240310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20241103T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230125T120000
DTEND;TZID=America/New_York:20230125T133000
DTSTAMP:20260405T014129
CREATED:20230104T182933Z
LAST-MODIFIED:20230104T182933Z
UID:8045-1674648000-1674653400@seasevents.nmsdev7.com
SUMMARY:ASSET Seminar: What makes learning to control easy or hard?\, Nikolai Matni (University of Pennsylvania)
DESCRIPTION:Presentation Abstract: \nDesigning autonomous systems that are simultaneously high-performing\, adaptive\, and provably safe remains an open problem.  In this talk\, we will argue that in order to meet this goal\, new theoretical and algorithmic tools are needed that blend the stability\, robustness\, and safety guarantees of robust control with the flexibility\, adaptability\, and performance of machine and reinforcement learning.  We will highlight our progress towards developing such a theoretical foundation of robust learning for safe control in the context of two case studies: (i) characterizing fundamental limits of learning-enabled control\, and (ii) developing novel robust imitation learning algorithms with sample-complexity guarantees.  In both cases\, we will emphasize the interplay between robust learning\, robust control\, and robust stability and their consequences on the sample-complexity and generalizability of the resulting learning-based control algorithms.
URL:https://seasevents.nmsdev7.com/event/asset-seminar-tba-nikolai-matni-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
END:VEVENT
END:VCALENDAR