Deep Q-Learning

Based on Deepmind's paper titled 'Human-level control through deep reinforcement learning' the model in the repo solves the Mountain-Car problem by applying Deep Q Learning.

Contents

main.py

• consists of the training algorithm

test.py

• contains the code to test the trained model

MountainCar.mp4

• Performance of successfully trained model

Usage

• Alter the hyperparameters gamma (discount factor) in main.py to generate a model that would solve the environment slected from Open AI Gym Environments.
• To test your model run it using test.py. Note: Change the environment in test.py if you have changed it in main.py. By default Mountian Car environment is selected.

License

• Provided in the repo