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SUMMARY:IC Colloquium: Reproducibility\, Reusability\, and Robustness in D
 eep Reinforcement Learning
DTSTART:20181031T161500
DTEND:20181031T173000
DTSTAMP:20260416T132056Z
UID:c6fa38b25b03040da4aeb60bf2193caf0315b7db37efa141fa54761f
CATEGORIES:Conferences - Seminars
DESCRIPTION:By: Joelle Pineau - McGill University and Facebook\nVideo of h
 er talk\n\nAbstract:\nIn recent years\, significant progress has been made
  in solving challenging problems across various domains using deep reinfor
 cement learning. However reproducing results for state-of-the-art deep RL 
 methods is seldom straightforward. High variance of some methods can make 
 learning particularly difficult when environments or rewards are strongly 
 stochastic. Furthermore\, results can be brittle to even minor perturbatio
 ns in the domain or experimental procedure. In this talk\, I will discuss 
 challenges that arise in experimental techniques and reporting procedures 
 in deep RL\, and will suggest methods and guidelines to make future result
 s more reproducible\, reusable and robust. I will also report on findings 
 from the ICLR 2018 reproducibility challenge.\n\nBio:\nJoelle Pineau is an
  Associate Professor and William Dawson Scholar at McGill University where
  she co-directs the Reasoning and Learning Lab. She also leads the Faceboo
 k AI Research lab in Montreal\, Canada. She holds a BASc in Engineering fr
 om the University of Waterloo\, and an MSc and PhD in Robotics from Carneg
 ie Mellon University. Dr. Pineau's research focuses on developing new mode
 ls and algorithms for planning and learning in complex partially-observabl
 e domains. She also works on applying these algorithms to complex problems
  in robotics\, health care\, games and conversational agents. She serves o
 n the editorial board of the Journal of Artificial Intelligence Research a
 nd the Journal of Machine Learning Research and is currently President of 
 the International Machine Learning Society. She is a recipient of NSERC's 
 E.W.R. Steacie Memorial Fellowship (2018)\, a Fellow of the Association fo
 r the Advancement of Artificial Intelligence (AAAI)\, a Senior Fellow of t
 he Canadian Institute for Advanced Research (CIFAR) and in 2016 was named 
 a member of the College of New Scholars\, Artists and Scientists by the Ro
 yal Society of Canada.\n\nMore information
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420
STATUS:CONFIRMED
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