Why the initial state of breakout environment is the same with different seed?

[Moirai7]

I tried the bellowing code and found out the initial state of breakout environment is the same with different seed. I wonder why? And how to get a different initial state?

import gymnasium as gym 
import numpy as np
for s in [0,1,2,3,4]:  
    env=gym.make("BreakoutNoFrameskip-v4")
    observation, info = env.reset(seed=s*1000)
    print(s, np.sum(observation))

[pseudo-rnd-thoughts]

I wouldn't be surprised if Breakout always starts in the same state but the randomness will still affect what happens

[Moirai7]

Thanks for the clarification! In this link that sampling action is not decide by the env seed. So I wonder what are the impacts of the different seed in breakout env? Also are there method to manually modify the initial state? Thanks in advance for your help!

[pseudo-rnd-thoughts]

For atari you can access the ram state and modify it I believe

[Moirai7]

Thanks! I wonder what are the impacts of different environment seeds?