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

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.