Combined Effect The impact of our features and application logic filtering is much more substantial for GMDP models, both on average and for the four domains where GMDP outperforms ADAGRAD (four rightmost domain columns of the table).
while in these four setups the combination of GMDP training with the features and filtering yields a substantial improvement over AdaGrad training with these additions, excluding either the features or the filtering often results in an advantage for AdaGrad training.