3 ms·
One big unmodelled parameter is the enemy team composition. For example, against teams with easy-to-land poke, QSS is better than Banshee’s Veil. If you modele
by tylerhou 6y ago
One big unmodelled parameter is the enemy team composition. For example, against teams with easy-to-land poke, QSS is better than Banshee’s Veil.
If you modeled team composition, it may be possible to even model pick-ban phase via min-max search. A full exhaustive search would be computationally impossible, but you could approximate it AlphaGo style with a neural network estimator + Monte Carlo tree search. You may be able to sell such software to professional teams.
- ReflectedImage 6y agoSo in the work the PhD is built upon, you focus entirely on what you can do, ignoring the enemy side. It might not be correct but it's a strategy you can take. You can still sort of address it by saying you need to have the ability to deal with X. Pick-ban phase optimization already exists at least for Dota 2.