.
├── data # Raw data folder
| ├── raw # Folder that should contain boscun-longitudinal.csv to run code
├── output # Output from main.R, creates train/test states & rewards
├── results # Contains training/test episode reward histories
├── src # R code for aggregating raw data
| ├── process.R # R code to convert raw itineraries to aggregated state representations
| ├── main.R # Run code & save results to output/
├── environment.py # Python module for navigating states & calculating rewards
├── ddqn.py # Python script to run DQN on itinerary data
└── report.Rmd # Submitted report R Markdown