Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Typo in participating institution: Robotoics -> Robotics #2

Open
wants to merge 1 commit into
base: master
Choose a base branch
from
Open

Typo in participating institution: Robotoics -> Robotics #2

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion _pages/00_home.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -26,7 +26,7 @@ In our last iteration, we ran the challenge on [ICLR submitted papers](https://r
### Participating Institutions

- [CSCI2951-F: Learning and Sequential Decision Making](http://cs.brown.edu/courses/cs2951f/), [Brown University](http://cs.brown.edu/)
- [Deep Learning, Advanced (DD2412)](https://www.kth.se/student/kurser/kurs/DD2412?l=en), [Division of Robotoics, Perception, and Learning (RPL)](https://www.kth.se/rpl/division-of-robotics-perception-and-learning-1.779439), [KTH (Royal Institute of Technology)](http://www.kth.se)
- [Deep Learning, Advanced (DD2412)](https://www.kth.se/student/kurser/kurs/DD2412?l=en), [Division of Robotics, Perception, and Learning (RPL)](https://www.kth.se/rpl/division-of-robotics-perception-and-learning-1.779439), [KTH (Royal Institute of Technology)](http://www.kth.se)
- [COMP 551: Applied Machine Learning](https://cs.mcgill.ca/~wlh/comp551/), Fall 2019, [McGill University](https://cs.mcgill.ca/)
- [IFT 6269 Probabilistic Graphical Models](http://www.iro.umontreal.ca/~slacoste/teaching/ift6269/A19/) , Fall 2019, [Université de Montréal](https://diro.umontreal.ca/english/home/)
- [CS 433: Machine Learning](https://www.epfl.ch/labs/mlo/machine-learning-cs-433/), Fall 2019, [EPFL](https://www.epfl.ch/en/)
Expand Down