Skip to content

Latest commit

 

History

2 Commits

Folders and files

NameName
Last commit message
Last commit date
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

DRIFT-DAgger: Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training

Setup

  • Create conda environment for different scenarios

    conda env create -f environment.yml
    conda activate drift-dagger
    
  • Download and train a behavioral cloning policy as the expert using this repo

    • The dataset can be found at here
  • Train a policy with DRIFT-DAgger

    python training/mavis/mavis_drift_dagger.py 
    

About

No description, website, or topics provided.

Resources

Stars

9 stars

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages