code: def main():
      env = gym.make("MountainCar-v0")
      act = deepq.learn(
          env,
          network=models.mlp(num_layers=1, num_hidden=64),
          total_timesteps=0,
          load_path="mountaincar_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)
  
imports: import gym
  from baselines import deepq
  from baselines.common import models
label_desc: Use image node_id 1 for calling a global function with example usage: main() without return types