code: def main():
      # Multi-actor runner, automatically if environment.num_actors() > 1
      runner = Runner(
          agent="benchmarks/configs/ppo.json",
          environment=MultiactorEnvironment,
          max_episode_timesteps=10,
      )
      runner.run(num_episodes=1000)
  
file_path: tensorforce/examples/multiactor_environment.py
imports: import numpy
  from tensorforce import Environment, Runner
label_desc: Use image node_id 1 for calling a global function with example usage: main() without return types