class_docstr: Example of interpreting repeated observations.
class_docstr_tok: ["Example","of","interpreting","repeated","observations","."]
code: def __init__(
      self, obs_space, action_space, num_outputs, model_config, name
  ):
      super().__init__(
          obs_space, action_space, num_outputs, model_config, name
      )
      self.model = TFFCNet(
          obs_space, action_space, num_outputs, model_config, name
      )
  
file_path: ray/python/ray/rllib/examples/models/simple_rpg_model.py
imports: from ray.rllib.models.tf.tf_modelv2 import TFModelV2
  from ray.rllib.models.tf.fcnet import FullyConnectedNetwork
  from ray.rllib.models.torch.torch_modelv2 import TorchModelV2
  from ray.rllib.models.torch.fcnet import FullyConnectedNetwork
  from ray.rllib.utils.framework import try_import_tf, try_import_torch
label_desc: Use image node_id 1 to create a new CustomTFRPGModel object from inherited base classes: TFModelV2 with example: obj = CustomTFRPGModel(obs_space, action_space, num_outputs, model_config, name)