Added example reward functions.

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2020-07-23 12:29:02 +12:00
parent 7000fa5b21
commit 1172f5b38c
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import math
def reward_function(params):
track_width = params['track_width']
distance_from_center = params['distance_from_center']
steering = abs(params['steering_angle'])
direction_stearing=params['steering_angle']
speed = params['speed']
steps = params['steps']
progress = params['progress']
all_wheels_on_track = params['all_wheels_on_track']
ABS_STEERING_THRESHOLD = 15
SPEED_TRESHOLD = 5
TOTAL_NUM_STEPS = 85
# Read input variables
waypoints = params['waypoints']
closest_waypoints = params['closest_waypoints']
heading = params['heading']
reward = 1.0
if progress == 100:
reward += 100
# Calculate the direction of the center line based on the closest waypoints
next_point = waypoints[closest_waypoints[1]]
prev_point = waypoints[closest_waypoints[0]]
# Calculate the direction in radius, arctan2(dy, dx), the result is (-pi, pi) in radians
track_direction = math.atan2(next_point[1] - prev_point[1], next_point[0] - prev_point[0])
# Convert to degree
track_direction = math.degrees(track_direction)
# Calculate the difference between the track direction and the heading direction of the car
direction_diff = abs(track_direction - heading)
# Penalize the reward if the difference is too large
DIRECTION_THRESHOLD = 10.0
malus=1
if direction_diff > DIRECTION_THRESHOLD:
malus=1-(direction_diff/50)
if malus<0 or malus>1:
malus = 0
reward *= malus
return reward