code: def rlmf_eval():
    
    hparams = rlmf_original()
    hparams.batch_size = 8
    hparams.eval_sampling_temps = [0.0, 0.5, 1.0]
    hparams.eval_rl_env_max_episode_steps = -1
    hparams.add_hparam("ppo_epoch_length", 128)
    hparams.add_hparam("ppo_optimization_batch_size", 32)
    hparams.add_hparam("ppo_epochs_num", 10000)
    hparams.add_hparam("ppo_eval_every_epochs", 500)
    hparams.add_hparam("attempt", 0)
    hparams.add_hparam("moe_loss_coef", 0)
    return hparams
docs: Eval set of hparams for model-free PPO.