code: def observe(self, env_response):
      mask = np.random.binomial(
          1,
          self.ap.exploration.bootstrapped_data_sharing_probability,
          self.ap.exploration.architecture_num_q_heads,
      )
      env_response.info["mask"] = mask
      return super().observe(env_response)
  
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 5 for calling the BootstrappedDQNAgent obj's underlying member method code with example usage: obj.observe(env_response) and returns: super