code: def select_actions(self, next_states, q_st_plus_1):
      return np.argmax(q_st_plus_1, 1)
  
imports: from typing import Union
  import numpy
  from rl_coach.agents.value_optimization_agent import ValueOptimizationAgent
  from rl_coach.architectures.embedder_parameters import InputEmbedderParameters
  from rl_coach.architectures.head_parameters import QHeadParameters
  from rl_coach.architectures.middleware_parameters import FCMiddlewareParameters
  from rl_coach.base_parameters import AlgorithmParameters, NetworkParameters, AgentParameters, MiddlewareScheme
  from rl_coach.core_types import EnvironmentSteps
  from rl_coach.exploration_policies.e_greedy import EGreedyParameters
  from rl_coach.memories.non_episodic.experience_replay import ExperienceReplayParameters
  from rl_coach.schedules import LinearSchedule
label_desc: Use image node_id 3 for calling the DQNAgent obj's underlying member method code with example usage: obj.select_actions(next_states, q_st_plus_1) and returns: np