text: import ray
  import torch
  
  from apex_dqn.dqn_learner import DQNLearner
  from apex_dqn.dqn_worker import DQNWorker
  from apex_dqn.models import ConvDQN, ConvDuelingDQN, ImageDQN
  from architectures.apex import ApeX
  from common.utils.buffer_helper import PrioritizedReplayBufferHelper
  from common.utils.utils import read_config
  
  ray.init()
  
  
  if __name__ == "__main__":
  
      cfg, comm_cfg = read_config("config.yml")
  
      dqn = ImageDQN(num_actions=cfg["action_dim"])
      target_dqn = ImageDQN(num_actions=cfg["action_dim"])
      brain = (dqn, target_dqn)
  
      ApeXDQN = ApeX(DQNWorker, DQNLearner, brain, cfg, comm_cfg)
      ApeXDQN.spawn()
      ApeXDQN.train()
  