Skip to content

xli4217/lof_robot_learning

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

20 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Installation And Setup

  1. sudo apt install xvfb (for training headless)
  2. git clone --recurse-submodules https://github.com/xli4217/lof_robot_learning.git
  3. Download CoppeliaSim_Edu_V4_1_0_Ubuntu18_04/ at https://www.coppeliarobotics.com/downloads# in the lof_robot_learning directory
  4. Follow https://github.com/stepjam/PyRep to install PyRep (installed in libs/PyRep)
  5. conda env create -f env.yml
  6. source setup_path.sh

Train And Run

  1. conda activate lof
  2. To start training run python src/train.py (by default training is done headless, if visualization of the training is desired, in src/train.py modify HEADLESS=False )
  3. To test trained policy run python src/rollout.py
  4. To plot learning curve, in package root directory run python -m spinup.run plot experiments/<experiment name>/

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published