A n grid system has been prepared to serve the path planning of an autonomous car using deep reinforcement learning.

car_game_manual_control.py :

A visual pygame car environment where you can add blocks and start,end points . You can move the car manually using the UP,DOWN,LEFT and RIGHT key.

car_graphical_auto_control.py :

The same car environemnet where you can suggest the path and the car moves accordingly in the path given.

car_dqn_test :

the deep reinforcemnet learning used for the car to move to its end point . the action spaces are discrete { fornt, back, front left, front right, back left, back right }

playerShip1_orange : the car image that has been used