class_docstr: Simple integration/smoke test for the distributed agent.
code: def test_agent(self):
      agent = mpo.DistributedMPO(
          environment_factory=lambda x: fakes.ContinuousEnvironment(
              bounded=True
          ),
          network_factory=make_networks,
          num_actors=2,
          batch_size=32,
          min_replay_size=32,
          max_replay_size=1000,
      )
      program = agent.build()
  
      (learner_node,) = program.groups["learner"]
      learner_node.disable_run()
  
      lp.launch(program, launch_type="test_mt")
  
      learner: acme.Learner = learner_node.create_handle().dereference()
  
      for _ in range(5):
          learner.step()
  
file_path: acme/acme/agents/tf/mpo/agent_distributed_test.py
imports: from typing import Sequence
  import acme
  from acme import specs
  from acme.agents.tf import mpo
  from acme.testing import fakes
  from acme.tf import networks
  from acme.tf import utils
  import launchpad
  import numpy
  import sonnet
  from absl.testing import absltest
label_desc: Use image node_id 1 for calling the DistributedAgentTest obj's underlying member method code with example usage: obj.test_agent() without return types