While I think I actually said similar things about this being incremental progress when AlphaGo came out, what I would really enjoy would be an evaluation of how much progress the enhanced techniques represent as AI techniques. AlphaGo involved a Convolutional Neural Network driving Monte Carlo Tree Search with a linear approximator thing to speed things up. Convnets are themselves something of a hybrid system.
So, will the future look like combining together more and more hybrid levels? Is there a limit to the number of layers or pieces? Maybe only someone Yann Lecun could comment. Still, I'd be curious.
So, will the future look like combining together more and more hybrid levels? Is there a limit to the number of layers or pieces? Maybe only someone Yann Lecun could comment. Still, I'd be curious.