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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def make_agent_from_hparams( agent_type, base_env, stacked_env, loop_hparams, policy_hparams, planner_hparams, model_dir, policy_dir, sampling_temp, video_writers=() ):
 """Creates an Agent from hparams."""

  def sim_env_kwargs_fn():
    return rl.make_simulated_env_kwargs(
        base_env, loop_hparams, batch_size=planner_hparams.batch_size,
        model_dir=model_dir
    )
  planner_kwargs = planner_hparams.values()
  planner_kwargs.pop("batch_size")
  planner_kwargs.pop("rollout_agent_type")
  planner_kwargs.pop("env_type")
  return make_agent(
      agent_type, stacked_env, policy_hparams, policy_dir, sampling_temp,
      sim_env_kwargs_fn, loop_hparams.frame_stack_size,
      planner_hparams.rollout_agent_type,
      inner_batch_size=planner_hparams.batch_size,
      env_type=planner_hparams.env_type,
      video_writers=video_writers, **planner_kwargs
  )