code: def discount_bootstrap(rewards_buffer, dones_buffer, final_values, discount_factor, number_of_steps):
      
      true_value_buffer = torch.zeros_like(rewards_buffer)
  
      # discount/bootstrap off value fn
      current_value = final_values
  
      for i in reversed(range(number_of_steps)):
          current_value = rewards_buffer[i] + discount_factor * current_value * (1.0 - dones_buffer[i])
          true_value_buffer[i] = current_value
  
      return true_value_buffer
docs: Calculate state values bootstrapping off the following state values