When agtboost handles

• Training on influence-adjusted derivatives
• Optimized L2-tuning from adjusted information-criterion
• Automatic stochastic variations overt trees
• Smart internal feature-engineering with categorical features

The resulting trained models should be extremely close to optimal gradient-tree-boosting ensembles