Skip to content

Autonomous Driving on Carla simulator using Deep Deterministic Policy Gradients. Based on Kendall, et. al. 2018.

Notifications You must be signed in to change notification settings

ankur-rc/autodrive_ddpg

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

49 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Autonomous Driving using Deep Deterministic Policy Gradients.

Based on Kendall, et. al. 2018.

[1] Alex Kendall, Jeffrey Hawke, David Janz, Przemyslaw Mazur, Daniele Reda, John-Mark Allen, Vinh-Dieu Lam, Alex Bewley: “Learning to Drive in a Day”, 2018; [http://arxiv.org/abs/1807.00412 arXiv:1807.00412].

Installation

  1. Navigate to code/autodrive
  2. Run pip install -r requirements.txt
  3. Navigate to code/autodrive/keras-rl
  4. Run pip install .
  5. Navigate to code/autodrive/carla-client
  6. Run pip install .

Set Carla environment variable

1.$ export CARLA_ROOT=path/to/carla/directory
2. Copy mysettings.ini to CARLA_ROOT directory

Run experiment

python run_experiment.py

About

Autonomous Driving on Carla simulator using Deep Deterministic Policy Gradients. Based on Kendall, et. al. 2018.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published