code: def load(self, path):
      self.combined_model_1.load_state_dict(
          torch.load(os.path.join(path, "combined_model_1.pth"))
      )
      self.combined_model_2.load_state_dict(
          torch.load(os.path.join(path, "combined_model_2.pth"))
      )
      self.unitary_model.load_state_dict(
          torch.load(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 3 for calling the RLAgent obj's underlying member method code with example usage: obj.load(path) without return types