Working examples of Deep Q Learning of Reinforcement Learning.The purpose of this repository is to collect some easy-to-follow tutorials of DQN. These tutorials are well explained and good for newcomers in RL like me. I put appropriate credit in the corresponding python file.
-mountain-car-dqn.py: Deep Q Learning of mountain car environment. All the states, actions, reward and code structure are described in this tutorial
-taxi-v3-dqn.py: Deep Q Learning for Taxi-v3 environment. You can find about this environment here. This code described in this nice tutorial
-blob-image-dqn.py: Example of blob image and deep q learning. inputs are images. All the states, actions, rewards are explained in this tutorial
-dqn-template.py: Skeleton of Deep Q network along with all the pieces. You can start with this for new environment. He exaplined all the pieces here
-snake game: Snake Game with DQLearning is explained in this repository. You can find the corresponding tutorial in this link