code: def planner_guess0():
      hparams = planner_base()
      hparams.uct_const = 6
      hparams.num_rollouts = 4 * 96
      hparams.normalizer_window_size = 30
      return hparams
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import datetime
  import os
  from tensor2tensor.data_generators import gym_env
  from tensor2tensor.layers import common_video
  from tensor2tensor.models.research import rl
  from tensor2tensor.rl import rl_utils
  from tensor2tensor.rl import trainer_model_based_params
  from tensor2tensor.utils import flags
  from tensor2tensor.utils import hparam
  from tensor2tensor.utils import registry
  from tensor2tensor.utils import trainer_lib
  import tensorflow.compat.v1
label_desc: Use image node_id 13 for calling a global function with example usage: planner_guess0() and returns: hparams