An algorithm to control autonomous vehicles using reinforcement learning. Used the VISTA simulation engine to get the input. VISTA data is built from human-collected driving traces, where a trace is the data collected from a single driving run. In this code I used RGB camera data from the pov of the driver looking out at the road: the camera collects this data as the car drives around. This is a policy gradient method that uses a Convolutional Neural Network to process the RGB input and as output it predicts, roughly speaking, the curvature the steering wheel should turn. An example of a trained model: https://youtu.be/nxtT0-Lxv8k
-
Notifications
You must be signed in to change notification settings - Fork 0
oliveira-caio/autonomousrl
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
an algorithm to control autonomous vehicles implemented using reinforcement learning.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published