def METHOD_NAME():
    source_ddpg = DDPG(
        N_STATE, N_ACTION, hparam_override={"hidden1": N_HIDDEN_NODE, "hidden2": N_HIDDEN_NODE, "tau": TAU}
    )
    source_ddpg.actor.load_state_dict(
        {state: torch.ones_like(param) / 2 for state, param in source_ddpg.actor.state_dict().items()}
    )
    target_ddpg = DDPG(
        N_STATE, N_ACTION, hparam_override={"hidden1": N_HIDDEN_NODE, "hidden2": N_HIDDEN_NODE, "tau": TAU}
    )
    target_ddpg.actor.load_state_dict(
        {state: torch.ones_like(param) for state, param in target_ddpg.actor.state_dict().items()}
    )
    return source_ddpg, target_ddpg