This repository implements the High Confidence Policy Improvement which tries to improve upon the given behaviour policy using data generated by that policy.
- Make sure latest version of Anaconda is installed for python 3.7.
- run
pip install cmato install cma-es library - Data pre processing has been done in 'Data Preprocessing' notebook and histories data has been stored in a new 'histories.csv', while all other metadata like num of actions, state features, confidence have been hardcoded.
- run
nohup python hcope.py &to run the code. It will save the logs to 'nohup.out' file while candidate thetas which pass the safety test will get saved to output/i.csv files.