We implemented a Q-learning algorithm that aims to find randomly selected erroneous nodes in a strongly connected directed graph. The models are also randomized based on the user-defined parameters. Project is carried out within the scope of Sabancı University - Project for Undergraduate Research in 2019 Fall semester, with the supervision of Associate Professor Cemal Yılmaz.
We implemented a Q-learning algorithm that aims to find randomly selected erroneous nodes in a strongly connected directed graph. The models are also randomized based on the user-defined parameters. Project is carried out within the scope of Sabancı University - Project for Undergraduate Research in 2019 Fall semester, with the supervision of As…
gorkemkose/DevelopingApproachesForTestingAutonomousCars
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
We implemented a Q-learning algorithm that aims to find randomly selected erroneous nodes in a strongly connected directed graph. The models are also randomized based on the user-defined parameters. Project is carried out within the scope of Sabancı University - Project for Undergraduate Research in 2019 Fall semester, with the supervision of As…
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published