code: def select_actions(self, next_states, q_st_plus_1):
      return np.argmax(
          self.networks["main"].online_network.predict(next_states), 1
      )
  
file_path: coach/rl_coach/agents/ddqn_agent.py
imports: from typing import Union
  import numpy
  from rl_coach.agents.dqn_agent import DQNAgent, DQNAgentParameters
  from rl_coach.core_types import EnvironmentSteps
  from rl_coach.schedules import LinearSchedule
label_desc: Use image node_id 2 for calling the DDQNAgent obj's underlying member method code with example usage: obj.select_actions(next_states, q_st_plus_1) and returns: np