Waga beat OpenAI
https://www.youtube.com/watch?v=7-_NF7uTcbA
Thought it was interesting from a learning point of view. Their approach was almost old school Chinese. All about farm and incremental advantage.
Its clear openAI still has some pretty major flaws, but even in the final fights the AI fought really well. Even though I would guess there was a major networth difference, the fights were closer than it would have been had two human teams been playing in the same circumstances.
Posted Apr 21, 2019, 7:54 AM UTC
I don't think it's much about the approach (as basically nobody you'll even meet is OpenAI), but more about identifying the strengths of the opponents.
There were games with the AI picking off Waga and instantly bringing the game to a end (punishing so hard that any lead was over, that most moves were simply impossible and they had to fight in their base, which the AI would basically autowin).
It bring to light how much reactions are important: See in one of the lost game, 2B on Sven started a pick off with God Strength and Waga backing him up (both from invisibility. but having more than 3 seconds to kill the target, the TPs were over and they got rolled over by the AI team. Maybe you lose a core, but identifying that you can kill back is important too.
But identifying that kind of strengths show you anyway how you can adapt. And adapting to them mean you can overcome them, the Winstrike team basically cheesed them in a game with Shadow Blades, but applied mostly the same ideas of dodging fights, gathering the biggest lead conceivable and winning through that. I point at that stack too as more data is more precise.
Final note tho: The AI in it's purest Dota isn't flawed. Not really, it's the human approach versus the AI approach: an AI can't ever guess and extrapolate the data from so little as a single game. It's the reason the AI had 45,000 years of Dota. Or as someone put it: an AI do small steps to immedite ends, a human can aim for bigger steps for far away ends.