Self-driving car with Deep-Q Network

#Refs :

• https://www.novatec-gmbh.de/en/blog/deep-q-networks/
• https://gist.github.com/bigsnarfdude/ed360e53ead31d5a47a6874ec6e58fb0

Start by installing the requirements:

sudo pip3 install -r requirements

Then you must implement in:

1. environment.py:

• rewards
• end of the episode.

2. agent.py

• an update scheme for epsilon
• The epsilon-greedy policy itself
• The neural network mapping states to values Q(s, a)

To train your reinforcement learning agent with some parameters:

python3 -m scripts.run_train --num_episodes=X --output='my_weights.h5'

To test your trained agent in a greedy way (saved in the .h5 file):

python3 -m scripts.run_test --model='my_weights.h5'