project1/
├── data                    # CSV data files to apply structured learning
│   ├── small.csv               # Titanic dataset¹
│   ├── medium.csv              # Wine dataset²
│   └── large.csv               # Secret dataset
├── example                 # Helpful examples
│   ├── example.gph             # Example graph (3 parents, 1 child each)
│   ├── example.csv             # Example data generated from "example.gph"
│   ├── example.score           # Bayesian score of the "examples.gph" given the data "examples.csv"
│   ├── examples.pdf            # Visualized "examples.gph" as a TikZ graph
│   └── titanicexample.pdf      # Simple example network using "small.csv"
├── project1.jl             # Starter code in Julia (optional, meant to help)
└── project1.py             # Starter code in Python (optional, meant to help)

project2/
└── data                      # CSV data files of (s,a,r,sp)
    ├── small.csv                 # 10x10 grid world
    ├── medium.csv                # MountainCarContinuous-v0
    └── large.csv                 # Secret RL problem