docstr: Train the agents network
  :return: The loss of the training
docstr_tok: ["Train","the","agents","network",":","return",":","The","loss","of","the","training"]
code: def train(self) -> Union[float, List]:
      """
      Train the agents network
      :return: The loss of the training
      """
      raise NotImplementedError("")
  
imports: from typing import Union, List, Dict
  import numpy
  from rl_coach.core_types import EnvResponse, ActionInfo, RunPhase, PredictionType, ActionType, Transition
  from rl_coach.saver import SaverCollection
label_desc: Use image node_id 7 for calling the AgentInterface obj's underlying member method code with example usage: obj.train() without return types