code: def __init__(
      self,
      agent_parameters,
      parent: Union["LevelManager", "CompositeAgent"] = None,
  ):
      super().__init__(agent_parameters, parent)
      self.l_values = self.register_signal("L")
      self.a_values = self.register_signal("Advantage")
      self.mu_values = self.register_signal("Action")
      self.v_values = self.register_signal("V")
      self.TD_targets = self.register_signal("TD targets")
  
imports: from typing import Union
  import numpy
  from rl_coach.agents.value_optimization_agent import ValueOptimizationAgent
  from rl_coach.architectures.embedder_parameters import InputEmbedderParameters
  from rl_coach.architectures.head_parameters import NAFHeadParameters
  from rl_coach.architectures.middleware_parameters import FCMiddlewareParameters
  from rl_coach.base_parameters import AlgorithmParameters, AgentParameters, NetworkParameters
  from rl_coach.core_types import ActionInfo, EnvironmentSteps
  from rl_coach.exploration_policies.ou_process import OUProcessParameters
  from rl_coach.memories.episodic.episodic_experience_replay import EpisodicExperienceReplayParameters
  from rl_coach.spaces import BoxActionSpace
label_desc: Use image node_id 1 to create a new NAFAgent object from inherited base classes: ValueOptimizationAgent with example: obj = NAFAgent(agent_parameters, parent)