Roberta Raileanu

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Names

How do you usually write your name as author of a paper? Also add any other names you have authored papers under.

Roberta Raileanu (Preferred)

Emails

Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments.

****@cs.nyu.edu
,
****@gmail.com
,
****@nyu.edu
,
****@fb.com

Education & Career History

Enter your education and career history. The institution domain is used for conflict of interest detection and institution ranking. For ongoing positions, leave the end field blank.

Researcher
Facebook (fb.com)
2021Present
 
PhD student
New York University (nyu.edu)
20162021
 
Undergrad student
Princeton University (princeton.edu)
20122016
 

Advisors, Relations & Conflicts

Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.

Coauthor
Arthur Szlam
****@fb.com
2018Present
 
Coauthor
Joan Bruna
****@cims.nyu.edu
2018Present
 
Coauthor
Alex Peysakhovich
****@fb.com
2018Present
 
Coauthor
Sanyam Kapoor
****@nyu.edu
2018Present
 
Coworker
Katja Hofmann
****@microsoft.com
2018Present
 
Coauthor
Kyunghyun Cho
****@nyu.edu
20182021
 
Coauthor
Denis Yarats
****@cs.nyu.edu
20182021
 
PhD Advisor
Rob Fergus
****@cs.nyu.edu
20162021
 
Coworker
Will Whitney
****@gmail.com
20162021
 
Coauthor
Cinjon Resnick
****@nyu.edu
20162021
 
Coauthor
Ilya Kostrikov
****@gmail.com
20162021
 
Coauthor
Heinrich Küttler
****@fb.com
20192020
 
Coauthor
Andres Campero
****@mit.edu
20192020
 
Coauthor
Tim Rocktaschel
****@fb.com
20192019
 
Coauthor
Edward Grefenstette
****@ucl.ac.uk
20192019
 
Coauthor
Nantas Nardelli
****@robots.ox.ac.uk
20192019
 
Coworker
Sam Devlin
****@microsoft.com
20182018
 
Coworker
Sainbayar
****@cs.nyu.edu
20162018
 

Expertise

For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing

reinforcement learning, generalization in RL, transfer and adaptation in RL, exploration in RL, learning from demonstrations, imitation learning, inverse reinforcement learning, multi-agent learning, modeling other agents, deep learning
2016Present