Skip to content

jjaeyeon/GEBO

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Code Impementation for "Mold into a Graph: Efficient Bayesian Optimization over Mixed Spaces"

This repo contains the implementation of GEBO algorithm.

Dependencies

Anaconda Python 3.7
torch==1.7.1
torch-geometric==1.7.2
networkx==2.6.3
GPy==1.10.0
scikit-learn==1.0.2
scipy==1.7.1
numpy==1.20.3
tqdm==4.32.1
pandas==1.3.4

To run the experiments,

  python main.py --func CalibEnv 
  python main.py --func RobotPush 

where --func specifics the task problem. You can either use the bash file run.sh to run the experiments.

Acknowledgements

The code is built upon the source code of CoCaBO. We thank the authors for their provision of the code.

About

implementation of GEBO for ICML 2022

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published