Skip to content

anubhavparas/quadrotor_control_ppo

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 
 
 

Repository files navigation

Low-level autonomous control and tracking of quadrotor using reinforcement learning - Proximal Policy Optimization

Instructions to run the code:

  • Make sure the following libraries are installed:
    • Python 3.4x
    • Pytorch
    • Numpy
  • go to the /code/ folder
  • to train and run the hover task:
    • run $ python hover_train_and_run.py
  • to train and run the trajectory following task:
    • run $ python traj_train_and_run.py
  • The code can be run in collab if GPU environment to be used

Results:

Hovering Task:

alt text

Trajectory following Task:

alt text

About

Low-level autonomous control and tracking of quadrotor using reinforcement learning - Proximal Policy Optimization

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages