[Bug] Numpy Attribute Error on A2C learn()

[lagatorc]

🐛 Bug

When I created an A2C model and ran the learn function I received an AttributeError from numpy.

To Reproduce

import gym
from stable_baselines3 import A2C
from stable_baselines3.common.vec_env import VecFrameStack
from stable_baselines3.common.env_util import make_atari_env

env = make_atari_env("Breakout-v0", n_envs=4, seed=0)
env = VecFrameStack(env, n_stack=4)

log_path = os.path.join("training", "logs")
model = A2C("CnnPolicy", env, verbose=True, tensorboard_log=log_path)

model.learn(total_timesteps=100000)

Expected behavior

model.learn() should throw this error:

AttributeError: 'numpy.random._generator.Generator' object has no attribute 'randint'

### System Info

OS: Linux-5.13.0-44-generic-x86_64-with-glibc2.10 #49~20.04.1-Ubuntu SMP Wed May 18 18:44:28 UTC 2022
Python: 3.8.5
Stable-Baselines3: 1.5.0
PyTorch: 1.11.0+cu102
GPU Enabled: False
Numpy: 1.22.4
Gym: 0.21.0

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[araffin]

Duplicate of #875

[lagatorc]

Thank you, sorry I did not find that duplicate issue.