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X-WR-CALNAME:Robots that Rapidly Adapt to Diverse Tasks and Environments - 
 Deepak Pathak\, Assistant Professor\, Carnegie Mellon University
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TZID:America/Vancouver
TZUNTIL:20230312T100000Z
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DTSTART:20201101T020000
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
RDATE:20211107T020000
RDATE:20221106T020000
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DTSTAMP:20260921T205855Z
CLASS:PUBLIC
CREATED:20210715T221157Z
DESCRIPTION:Please register for this event here. Abstract: How can we train
  a robot that can generalize to perform thousands of tasks in thousands of
  environments? This question underscores the holy grail of robot learning 
 research dominated by learning from demonstrations or reward-based learnin
 g. However\, it is nearly impossible to supervise an agent whether via dem
 onstrations or rewards for all possible situations it is yet to encounter 
 in the future. Hence\, we posit that this generalization ability is only p
 ossible if the robot can learn continually and adapt rapidly to new situat
 ions. The adaptation…
DTSTART;TZID=America/Vancouver:20210728T110000
DTEND;TZID=America/Vancouver:20210728T120000
LAST-MODIFIED:20210715T221803Z
LOCATION:Please register to receive the Zoom link
SUMMARY:Robots that Rapidly Adapt to Diverse Tasks and Environments - Deepa
 k Pathak\, Assistant Professor\, Carnegie Mellon University
TRANSP:OPAQUE
URL:https://caida.ubc.ca/event/robots-rapidly-adapt-diverse-tasks-and-envir
 onments-deepak-pathak-assistant-professor
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