code: def get_simulated_problem_name(game):
      game_with_mode = game
      if game in gym_env.ATARI_GAMES:
          game_with_mode += "_deterministic-v4"
      return (
          "gym_simulated_discrete_problem_with_agent_on_%s"
          % game_with_mode
      )
  
file_path: tensor2tensor/tensor2tensor/rl/trainer_model_based_agent_only.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from tensor2tensor.bin import t2t_trainer
  from tensor2tensor.data_generators import gym_env
  from tensor2tensor.rl import trainer_model_based
  from tensor2tensor.rl import trainer_model_based_params
  import tensorflow.compat.v1
label_desc: Use image node_id 1 for calling a global function with example usage: get_simulated_problem_name(game) and returns: unknown