code: def __init__(self):
      super().__init__()
      self.heads_parameters[0].num_output_head_copies = 10
      self.heads_parameters[0].rescale_gradient_from_head_by_factor = (
          1.0 / self.heads_parameters[0].num_output_head_copies
      )
  
file_path: coach/rl_coach/agents/bootstrapped_dqn_agent.py
imports: from typing import Union
  import numpy
  from rl_coach.agents.dqn_agent import DQNNetworkParameters, DQNAgentParameters
  from rl_coach.agents.value_optimization_agent import ValueOptimizationAgent
  from rl_coach.exploration_policies.bootstrapped import BootstrappedParameters
label_desc: Use image node_id 1 to create a new BootstrappedDQNNetworkParameters object from inherited base classes: DQNNetworkParameters with example: obj = BootstrappedDQNNetworkParameters()