code: def __init__(self):
      super().__init__(
          algorithm=HumanAlgorithmParameters(),
          exploration=EGreedyParameters(),
          memory=ExperienceReplayParameters(),
          networks={"main": BCNetworkParameters()},
      )
  
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 HumanAgentParameters object from inherited base classes: AgentParameters with example: obj = HumanAgentParameters()