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X-WR-CALNAME:Inverse constraint learning and risk averse reinforcement lear
 ning for safe AI - Pascal Poupart\, Professor\, University of Waterloo
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TZUNTIL:20251102T090000Z
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DTSTART:20231105T020000
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DESCRIPTION:Zoom Link Abstract: In many applications of reinforcement learn
 ing (RL) and control\, policies need to satisfy constraints to ensure feas
 ibility\, safety or thresholds about key performance indicators. However\,
  some constraints may be difficult to specify. For instance\, in autonomou
 s driving\, it is relatively easy to specify a reward function to reach a 
 destination\, but implicit constraints followed by expert human drivers to
  ensure a safe\, smooth and comfortable ride are much more difficult to sp
 ecify. I will present some techniques to learn soft constraints from exper
 t trajectories in…
DTSTART;TZID=America/Vancouver:20240229T100000
DTEND;TZID=America/Vancouver:20240229T110000
LAST-MODIFIED:20240207T211137Z
LOCATION:UBC Vancouver Campus\, ICCS X836
SUMMARY:Inverse constraint learning and risk averse reinforcement learning 
 for safe AI - Pascal Poupart\, Professor\, University of Waterloo
TRANSP:OPAQUE
URL:https://caida.ubc.ca/event/inverse-constraint-learning-and-risk-averse-
 reinforcement-learning-safe-ai-pascal-poupart
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