code: def main():
      env = gym.make("CartPole-v0")
      act = deepq.learn(
          env,
          network="mlp",
          total_timesteps=0,
          load_path="cartpole_model.pkl",
      )
  
      while True:
          obs, done = env.reset(), False
          episode_rew = 0
          while not done:
              env.render()
              obs, rew, done, _ = env.step(act(obs[None])[0])
              episode_rew += rew
          print("Episode reward", episode_rew)
  
label_desc: Use image node_id 1 for calling a global function with example usage: main() without return types