How can i render openai gym in windows python3(cartpole)

Question

The programs I use are colab, vscode, vscode-jupyter, kaggle, pycharm. Pyton version 3.10.7 I tried to render the cartpole environment in every program I use. I tried many different gym package versions. But I can't. I wonder which python version, which gym version, or what are the things I should use in general. (IDE vs..)

Speaking for vscode, this is the code I ran and the output I got. (PACKETS => pygame=2.1.0, gym=0.26.1, gym-notices=0.0.8, python=3.10.7) VSCODE code

my code is working but what i want is to see this.I can't see that. i want to see

PyCharm is the same and Spyder is the same.

GOOGLE COLAB I am running the same code again.This is the outputcolab output

Answer 1

try the below code it will be train and save the model in specific folder in code.(can run in Google Colab too)

import gym 
from stable_baselines3 import PPO
from stable_baselines3.common.vec_env import DummyVecEnv
from stable_baselines3.common.evaluation import evaluate_policy
import os

environment_name = "CartPole-v0"
env = gym.make(environment_name)
env = DummyVecEnv([lambda: env])
model = PPO('MlpPolicy', env, verbose = 1)

model.learn(total_timesteps=5000) #learn 
ppo_path = os.path.join('Cartpole_model')
model.save(ppo_path)

after it Check the result by loading the saved model (To render Download saved model if you are in Google Colab, you have to run this in your own pc )

environment_name = "CartPole-v0" #Env
env = gym.make(environment_name,render_mode="human")

ppo_path = os.path.join('Cartpole_model')
model = PPO.load(ppo_path, env) #load model    

obs = env.reset()
while True:
    action, _states = model.predict(obs)
    obs, rewards,  dones, info = env.step(action)
    env.render()
env.close()

(rendered output wont work in google colab, if you somehow linked vs code with google colab it wont output render but can train model !)