def reward_function(self, on_track, x, y, distance_from_center, car_orientation, progress, steps,
                        throttle, steering, track_width, waypoints, closest_waypoints):

        reward = 1e-3

        rabbit = [0,0]
        pointing = [0,0]

        # Reward when yaw (car_orientation) is pointed to the next waypoint IN FRONT.

        # Find nearest waypoint coordinates

        rabbit = [waypoints[closest_waypoints+1][0],waypoints[closest_waypoints+1][1]]

        radius = math.hypot(x - rabbit[0], y - rabbit[1])

        pointing[0] = x + (radius * math.cos(car_orientation))
        pointing[1] = y + (radius * math.sin(car_orientation))

        vector_delta = math.hypot(pointing[0] - rabbit[0], pointing[1] - rabbit[1])

        # Max distance for pointing away will be the radius * 2
        # Min distance means we are pointing directly at the next waypoint
        # We can setup a reward that is a ratio to this max.

        if vector_delta == 0:
            reward += 1
        else:
            reward += ( 1 - ( vector_delta / (radius * 2)))

        return reward