updated reward function to speed up but not working as expected.

Hi
I updated reward_function to speed up using params['steps'] but not working as expected.

The reward_function is this

=====================================
def reward_function(params):
'''
Example of rewarding the agent to follow center line
'''
reward=1e-3

# Read input parameters  
track_width = params\['track_width']  
distance_from_center = params\['distance_from_center']  
steering = params\['steering_angle']  
speed = params\['speed']  
all_wheels_on_track = params\['all_wheels_on_track']  
steps = params\['steps']  
progress = params\['progress']  
  
# Total num of steps we want the car to finish the lap, it will vary depends on the track length  
TOTAL_NUM_STEPS = 300  
  
if distance_from_center >=0.0 and distance_from_center <= 0.03:  
    reward = 1.0  
  
if not all_wheels_on_track:  
    reward = reward -1  
else:  
    reward = reward + progress  
      
# add speed penalty  
if speed < 1.0:  
    reward *=0.80  
else:   
    reward += speed  
      
**# Give additional reward if the car pass every 100 steps faster than expected**   
**if (steps % 50) == 0 and progress > (steps / TOTAL_NUM_STEPS) :**  
    **reward += 10.0**  
  
return float(reward)  

==================================================

There was no lines with bold in previous model.

I trained for 5 hours but the result is slower than before.

with Previous model, I could get 2124 seconds to run the Empire City track but with the new model after training for 5 hour, I am getting 2427 seconds.

Other Action space and hyperparameters are same.

Anybody knows why the result is slower than before?