code: def ppo_atari_base():
    
    hparams = ppo_discrete_action_base()
    hparams.learning_rate_constant = 1e-4
    hparams.epoch_length = 200
    hparams.gae_gamma = 0.985
    hparams.gae_lambda = 0.985
    hparams.entropy_loss_coef = 0.003
    hparams.value_loss_coef = 1
    hparams.optimization_epochs = 3
    hparams.epochs_num = 1000
    hparams.policy_network = "feed_forward_cnn_small_categorical_policy"
    hparams.clipping_coef = 0.2
    hparams.optimization_batch_size = 20
    hparams.clip_grad_norm = 0.5
    return hparams
docs: Pong base parameters.