text: ### Ape-X CartPole Config ###
  
  env = {
      "name": "cartpole",
      "action_type": "discrete",
      "render": False,
  }
  
  agent = {
      "name": "ape_x",
      "network": "dueling",
      "gamma": 0.99,
      "buffer_size": 50000,
      "batch_size": 32,
      "clip_grad_norm": 40.0,
      "start_train_step": 2000,
      "target_update_period": 1000,
      # MultiStep
      "n_step": 3,
      # PER
      "alpha": 0.6,
      "beta": 0.4,
      "uniform_sample_prob": 1e-3,
  }
  
  optim = {
      "name": "rmsprop",
      "eps": 1.5e-7,
      "lr": 0.0001,
      "centered": True,
  }
  
  train = {
      "training": True,
      "load_path": None,
      "run_step": 100000,
      "print_period": 1000,
      "save_period": 10000,
      "eval_iteration": 10,
      # distributed setting
      "distributed_batch_size": 512,
      "update_period": 16,
      "num_workers": 32,
  }
  