[Bug]: Procgen

[BurgerAndreas]

🐛 Bug

Using Procgen like in the example from the docs website results in:

AssertionError: The algorithm only supports (<class 'gymnasium.spaces.box.Box'>, <class 'gymnasium.spaces.discrete.Discrete'>, <class 'gymnasium.spaces.multi_discrete.MultiDiscrete'>, <class 'gymnasium.spaces.multi_binary.MultiBinary'>) as action spaces but Discrete(15) was provided

To Reproduce

from procgen import ProcgenEnv

from stable_baselines3 import PPO
from stable_baselines3.common.vec_env import VecExtractDictObs, VecMonitor

# ProcgenEnv is already vectorized
venv = ProcgenEnv(num_envs=2, env_name="starpilot")

# To use only part of the observation:
# venv = VecExtractDictObs(venv, "rgb")

# Wrap with a VecMonitor to collect stats and avoid errors
venv = VecMonitor(venv=venv)

model = PPO("MultiInputPolicy", venv, verbose=1)
model.learn(10_000)

Copied from: https://stable-baselines3.readthedocs.io/en/master/guide/examples.html#sb3-and-procgenenv

Relevant log output / Error message

Traceback (most recent call last):
  File "/ssd/robos/xb/sb3_procgen_bug.py", line 15, in <module>
    model = PPO("MultiInputPolicy", venv, verbose=1)
  File "/ssd/robos/xb/venv10/lib/python3.10/site-packages/stable_baselines3/ppo/ppo.py", line 109, in __init__
    super().__init__(
  File "/ssd/robos/xb/venv10/lib/python3.10/site-packages/stable_baselines3/common/on_policy_algorithm.py", line 85, in __init__
    super().__init__(
  File "/ssd/robos/xb/venv10/lib/python3.10/site-packages/stable_baselines3/common/base_class.py", line 180, in __init__
    assert isinstance(self.action_space, supported_action_spaces), (
AssertionError: The algorithm only supports (<class 'gymnasium.spaces.box.Box'>, <class 'gymnasium.spaces.discrete.Discrete'>, <class 'gymnasium.spaces.multi_discrete.MultiDiscrete'>, <class 'gymnasium.spaces.multi_binary.MultiBinary'>) as action spaces but Discrete(15) was provided
Exception ignored in: <function CEnv.__del__ at 0x7f215900c670>

System Info

• OS: Linux-6.5.0-14-generic-x86_64-with-glibc2.35 # 14~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC
• Python: 3.10.12
• Stable-Baselines3: 2.2.1
• PyTorch: 2.2.0+cu121
• GPU Enabled: True
• Numpy: 1.26.3
• Cloudpickle: 3.0.0
• Gymnasium: 0.29.1
• OpenAI Gym: 0.26.2

Checklist

• [X] My issue does not relate to a custom gym environment. (Use the custom gym env template instead)
• [X] I have checked that there is no similar issue in the repo
• [X] I have read the documentation
• [X] I have provided a minimal and working example to reproduce the bug
• [X] I've used the markdown code blocks for both code and stack traces.

[araffin]

Duplicate of https://github.com/DLR-RM/stable-baselines3/issues/1712

I would appreciate a PR that updates the documentation ;)