AlphaGo's 1st incarnation included an input scalar that the Net was taught represented the level of Human Play to Emulate (handily included in the dataset).<p>Thus AlphaGo plays as a human (before MCTS), it's choices model a challenging oppenent.<p>If the dataset included the name of the player in the Dataset then AlphaGo could play in the style of that player.<p>This offers a human experience, and for teaching one can show what different experts at differing levels would choose.