[Software] Using Genetic Programming to Improve Data Collection for Offline Reinforcement Learning

Implementation
This repository contains implementations of Genetic Programming based on DEAP and of BC, DQN, REM and CQL.

Experiments are managed through experimental files (ex_01.py, ex_02.py, ex_gp_01 ...). The results can be reproduced via running the experiments for both environments, joining the csv files (join_csv_files.py) and then via the "create_plots" python files for the respective research question.

Dependencies
To reproduce all results we provide a requirement.txt