code: def __init__(self):
      super().__init__()
      self.heads_parameters = [QuantileRegressionQHeadParameters()]
      self.learning_rate = 0.00005
      self.optimizer_epsilon = 0.01 / 32
  
imports: from copy import copy
  from typing import Union
  import numpy
  from rl_coach.agents.dqn_agent import DQNAgentParameters, DQNNetworkParameters, DQNAlgorithmParameters
  from rl_coach.agents.value_optimization_agent import ValueOptimizationAgent
  from rl_coach.architectures.head_parameters import QuantileRegressionQHeadParameters
  from rl_coach.core_types import StateType
  from rl_coach.schedules import LinearSchedule
label_desc: Use image node_id 1 to create a new QuantileRegressionDQNNetworkParameters object from inherited base classes: DQNNetworkParameters with example: obj = QuantileRegressionDQNNetworkParameters()