Skip to content

Using Reinforcement learning algorithms to dribble a ball in air with the help of quadcopter

Notifications You must be signed in to change notification settings

niagl/Quad_air_dribble

Repository files navigation

Quadcopter Air Dribble

Installation

Recommended OS Ubuntu 16 to run the code

Installing Dependencies
To run simulator

Navigate to where simulator is downloaded and use path of provided environment file

./vrep.sh quad_env.ttt

To run in headless mode ./vrep.sh -h quad_env.ttt

To run code

Download provided code and navigate to the downloaded folder

$ python main.py [algorithm] [action] [number of episodes] [steps per episode]

Various modes code can be run in
options values
algorithm pg or vpg or ppo
action eval or train
number of episodes default = 200
steps per episode default = 50

About

Using Reinforcement learning algorithms to dribble a ball in air with the help of quadcopter

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Languages