Oleh Rybkin

University of Pennsylvania

Names

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

Oleh Rybkin

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.

****@seas.upenn.edu
,
****@gmail.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.

PhD student
University of Pennsylvania (upenn.edu)
20172023
 
Visiting Student Researcher
University of California Berkeley (berkeley.edu)
20192019
 
Visiting Student Researcher
Tokyo Institute of Technology (titech.ac.jp)
20172017
 
Undergrad student
Czech Technical Univeresity in Prague (fel.cvut.cz)
20142017
 
Visiting Student Researcher
INRIA (inria.fr)
20162016
 

Advisors, Relations & Conflicts

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

Coauthor
Chelsea Finn
****@cs.stanford.edu
2019Present
 
Coauthor
Dinesh Jayaraman
****@gmail.com
2019Present
 
Coauthor
Deepak Pathak
****@berkeley.edu
2019Present
 
Coauthor
Sergey Levine
****@eecs.berkeley.edu
2019Present
 
PhD Advisor
Kostas Daniilidis
****@seas.upenn.edu
2017Present
 
Coauthor
Drew Jaegle
****@gmail.com
2017Present
 

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

Goal-conditioned reinforcement learning
2020Present
 
Unsupervised reinforcement learning
2020Present
 
Reinforcement learning
2020Present
 
Model-based reinforcement learning
2019Present
 
Exploration
2019Present
 
Latent variable models
2018Present
 
Deep learning
2017Present
 
Video prediction
2017Present
 
Generative models
2017Present
 
Deep sequence models
2017Present
 
Deep dynamics models
2017Present
 
Computer vision
2015Present