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X-WR-RELCALID:efc09d74-9c93-479e-a94f-485231ddccde
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X-WR-CALNAME:The Non-Stochastic Control Framework -  Naman Agarwal\, Resear
 ch Scientist\, Google AI\, Princeton
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TZID:America/Vancouver
TZUNTIL:20221106T090000Z
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DTSTART:20191103T020000
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RDATE:20201101T020000
RDATE:20211107T020000
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DTSTAMP:20260923T155744Z
CLASS:PUBLIC
CREATED:20200918T214821Z
DESCRIPTION:Please register for this event here Abstract: Linear dynamical 
 systems are a continuous subclass of reinforcement learning models that ar
 e widely used in robotics\, finance\, engineering\, and meteorology. Class
 ical control\, has focused on dynamics with Gaussian i.i.d. Noise and quad
 ratic loss functions in terms of provably efficient algorithms. I will pre
 sent a non-stochastic control framework inspired by online learning\, that
  generalizes some traditional notions of robust control and discuss method
 ology which achieves efficient control with adversarial noise and general 
 convex loss functions…
DTSTART;TZID=America/Vancouver:20201005T140000
DTEND;TZID=America/Vancouver:20201005T150000
LAST-MODIFIED:20210610T230231Z
LOCATION:Please register to receive the Zoom link
SUMMARY:The Non-Stochastic Control Framework - Naman Agarwal\, Research Sci
 entist\, Google AI\, Princeton
TRANSP:OPAQUE
URL:https://caida.ubc.ca/event/non-stochastic-control-framework-naman-agarw
 al-research-scientist-google-ai-princeton
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