code: def create_agent(self, env):
      model = agents.acer.ACERSeparateModel(
          pi=create_stochastic_policy_for_env(env),
          q=create_state_q_function_for_env(env),
      )
      opt = optimizers.Adam()
      opt.setup(model)
      rbuf = replay_buffer.EpisodicReplayBuffer(10**4)
      return agents.ACER(
          model, opt, t_max=1, gamma=0.99, replay_buffer=rbuf
      )
  
imports: from chainer import optimizers
  from chainer import testing
  import gym
  import gym.spaces
  import basetest_agents
  from chainerrl import agents
  from chainerrl import explorers
  from chainerrl import policies
  from chainerrl import q_functions
  from chainerrl import replay_buffer
  from chainerrl import v_function
label_desc: Use image node_id 1 for calling the TestACER obj's underlying member method code with example usage: obj.create_agent(env) and returns: agents