code: def test_recurrent(self):
      environment = _make_fake_env()
      env_spec = specs.make_environment_spec(environment)
  
      network = snt.DeepRNN(
          [
              snt.Flatten(),
              snt.Linear(env_spec.actions.num_values),
              lambda x: tf.argmax(
                  x, axis=-1, output_type=env_spec.actions.dtype
              ),
          ]
      )
  
      actor = actors.RecurrentActor(network)
      loop = environment_loop.EnvironmentLoop(environment, actor)
      loop.run(20)
  
file_path: acme/acme/agents/tf/actors_test.py
imports: from acme import environment_loop
  from acme import specs
  from acme.agents.tf import actors
  from acme.testing import fakes
  import dm_env
  import numpy
  import sonnet
  import tensorflow
  from absl.testing import absltest
label_desc: Use image node_id 2 for calling the ActorTest obj's underlying member method code with example usage: obj.test_recurrent() without return types