code: def ppo_original_params():
    
    hparams = ppo_atari_base()
    hparams.learning_rate_constant = 2.5e-4
    hparams.gae_gamma = 0.99
    hparams.gae_lambda = 0.95
    hparams.clipping_coef = 0.1
    hparams.value_loss_coef = 1
    hparams.entropy_loss_coef = 0.01
    hparams.eval_every_epochs = 200
    hparams.dropout_ppo = 0.1
    # The parameters below are modified to accommodate short epoch_length (which
    # is needed for model based rollouts).
    hparams.epoch_length = 50
    hparams.optimization_batch_size = 20
    return hparams
docs: Parameters based on the original PPO paper.