[Question] DQN doesn't support vectorize environment

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Question

Why does DQN doesn't support vecotrize environment of 1?

import pettingzoo.atari.pong_v1 as pong_v1
import supersuit as ss
from stable_baselines3 import DQN
env = pong_v1.parallel_env(full_action_space=False)
env = ss.color_reduction_v0(env, mode='full')
env = ss.resize_v0(env, x_size=64m y_size=64)
env = ss.frame_stack_v1(env, 3)
env = ss.pettingzoo_env_to_vec_env_v0(env)
env = ss.concat_vec_envs_v0(env, 1, num_cpus=4, base_class='stable_baselines3')
model = DQN('CnnPolicy', env, verbose=1)

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[araffin]

Why does DQN doesn't support vecotrize environment of 1?

env = ss.concat_vec_envs_v0(env, 1, num_cpus=4, base_class='stable_baselines3')

it seems you are using 4 envs, no? (@justinkterry should probably know as author of super suit)
and please fill the issue template completely (including traceback)

[jkterry1]

I explained this in the related issue here: Farama-Foundation/SuperSuit#77

The number of envs are equal to the number of players in pong (two).

The feature request for DQN to support vectorized environments still stands though, I assume.

[araffin]

Thanks for the quick answer =)

The feature request for DQN to support vectorized environments still stands though, I assume.

I will close this issue as a duplicate of #179