def METHOD_NAME():
    env = MemoryEnvironment([BRAIN_NAME], action_sizes=(1, 1), step_size=0.5)
    new_network_settings = attr.evolve(
        PPO_TORCH_CONFIG.network_settings,
        memory=NetworkSettings.MemorySettings(memory_size=16),
    )
    new_hyperparams = attr.evolve(
        PPO_TORCH_CONFIG.hyperparameters,
        learning_rate=1.0e-3,
        batch_size=64,
        buffer_size=512,
    )
    config = attr.evolve(
        PPO_TORCH_CONFIG,
        hyperparameters=new_hyperparams,
        network_settings=new_network_settings,
        max_steps=5000,
    )
    check_environment_trains(env, {BRAIN_NAME: config}, success_threshold=0.9)