This repository is a Q-learning implementation of OpenAI Gym Mountain Car game.

The goal is reaching to the flag by using 3 different actions, including 'left', 'nothing', 'right'. However, the force is not enough to reach to the flag just by 'right' action and the agent must use the momentum of car.

Just copy-paste the mountain_car_v0.py to your project or clone this repository and run mountain_car_v0.py using python.

The car reaches to the goal just after a few hundreds of episodes.

Episodes	Output	Output	Output
Episode 200, 400, 600
Episode 800, 1000, 1200
Episode 1400, 1600, 1800
Episode 2000, 2200, 2400
Episode 2600, 2800, 3000
Episode 3200, 3400, 3600
Episode 3800, 4000, 4200
Episode 4400, 4600, 4800
Episode 5000, 5200, 5400
Episode 5600, 5800, 6000
Episode 6200, 6400, 6600
Episode 6800, 7000, 7200
Episode 7400, 7600, 7800
Episode 8000, 8200, 8400
Episode 8600, 8800, 9000
Episode 9200, 9400, 9600
Episode 10000, 10200, 10400

With special thanks to sentdex, An amazing Youtuber!