code: def main():
      env = gym.make("MountainCar-v0")
      # Enabling layer_norm here is import for parameter space noise!
      act = deepq.learn(
          env,
          network=models.mlp(num_hidden=64, num_layers=1),
          lr=1e-3,
          total_timesteps=100000,
          buffer_size=50000,
          exploration_fraction=0.1,
          exploration_final_eps=0.1,
          print_freq=10,
          param_noise=True,
      )
      print("Saving model to mountaincar_model.pkl")
      act.save("mountaincar_model.pkl")
  
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