LunarLander Solver

These programs rely mainly on pytorch, gym and optuna.

They can be ran in two ways:

1. python main.py will train a simple convolutional DDQN model (see DQN.py).

2. The experiments.ipynb notebook will let you run hyper-parameter tuning experiments on our full model (see DQN_parametrized.py).