code: def get_q_values(self, quantile_values):
      return np.dot(quantile_values, self.quantile_probabilities)
  
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 3 for calling the QuantileRegressionDQNAgent obj's underlying member method code with example usage: obj.get_q_values(quantile_values) and returns: np