code: def __init__(self):
      super().__init__()
      self.input_embedders_parameters = {
          "observation": InputEmbedderParameters()
      }
      self.input_embedders_parameters[
          "observation"
      ].scheme = EmbedderScheme.Medium
      self.middleware_parameters = FCMiddlewareParameters()
      self.optimizer_type = "Adam"
      self.batch_size = 32
      self.replace_mse_with_huber_loss = False
      self.create_target_network = False
  
imports: import os
  from collections import OrderedDict
  from typing import Union
  import contextlib
  from pandas import to_pickle
  from rl_coach.agents.agent import Agent
  from rl_coach.agents.bc_agent import BCNetworkParameters
  from rl_coach.architectures.embedder_parameters import InputEmbedderParameters
  from rl_coach.architectures.head_parameters import PolicyHeadParameters
  from rl_coach.architectures.middleware_parameters import FCMiddlewareParameters
  from rl_coach.base_parameters import AlgorithmParameters, NetworkParameters, EmbedderScheme, AgentParameters
  from rl_coach.core_types import ActionInfo
  from rl_coach.exploration_policies.e_greedy import EGreedyParameters
  from rl_coach.logger import screen
  from rl_coach.memories.episodic.episodic_experience_replay import EpisodicExperienceReplayParameters
  from rl_coach.memories.non_episodic.experience_replay import ExperienceReplayParameters
label_desc: Use image node_id 1 to create a new HumanNetworkParameters object from inherited base classes: NetworkParameters with example: obj = HumanNetworkParameters()