code: def save(self, path):
      torch.save(
          self.combined_model_1.state_dict(),
          os.path.join(path, "combined_model_1.pth"),
      )
      torch.save(
          self.combined_model_2.state_dict(),
          os.path.join(path, "combined_model_2.pth"),
      )
      torch.save(
          self.unitary_model.state_dict(),
          os.path.join(path, "unitary_model.pth"),
      )
  
imports: import torch
  import numpy
  import pickle
  import os
  from grid2op.Agent import BaseAgent
  from copy import deepcopy
  from powernet_model import CombinedActionModel, UnitaryActionModel
  from utils import FeatureProcessor, UnitaryFeatureProcessor
label_desc: Use image node_id 4 for calling the RLAgent obj's underlying member method code with example usage: obj.save(path) without return types