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Earlier quoted context omitted.
The DeepMind folks on stream just mentioned that Alphastar's inference speed is about 50ms from observation to action.
I thought they said 350ms. E: https://youtu.be/cUTMhmVh1qs?t=3272
Very impressive... but it seems like the AI relies entirely on abusing blink stalkers which with perfect micro is basically impossible to counter. It is no surprise it can crush pros when it has perfect timing and zero mistakes in using these units. I think the coolest thing is how the play of AI mirrors a similar style to how pros have developed (Micro harrasing early, early expansions, a very good understanding of…
>I think the coolest thing is how the play of AI mirrors a similar style to how pros have developed I mean, the agents have learned the game from pro replays so to me it seems obvious it would evolve to play the same strats human pros use.
Very impressive... but it seems like the AI relies entirely on abusing blink stalkers which with perfect micro is basically impossible to counter. It is no surprise it can crush pros when it has perfect timing and zero mistakes in using these units. I think the coolest thing is how the play of AI mirrors a similar style to how pros have developed (Micro harrasing early, early expansions, a very good understanding of…
I am somewhat disappointed that they stream only hand-picked replays. For a big, announced presentation, they should be at a stage to stream live games (like OpenAI did with Dota). However, apart from that great work by Deepmind and I am excited to follow the progress in this area.
This is such an inane complaint. They didn't do it all live because they have results they want to show and don't have observer mode because they've been focusing on research and don't want to delay things.
The live exhibition match definitely made Alphastar look like a machine making the decisions, not a super smart being. The micro was obviously impressive but that should also be the easiest part to master. I share the sentiment that DeepMind is hosting big events to paint a very one-sided picture of man vs machine, so this last win of mana feels oddly satisfying.
It is a little disappointing that Mana's win was achieved in part by simply exploiting Alphastar's poor response to the immortal drops by doing it over and over again. In contrast, Lee Sedol's win versus AlphaGo involved profound strategy and a particularly inspired "divine move" that humans get to brag about.
The live exhibition match definitely made Alphastar look like a machine making the decisions, not a super smart being. The micro was obviously impressive but that should also be the easiest part to master. I share the sentiment that DeepMind is hosting big events to paint a very one-sided picture of man vs machine, so this last win of mana feels oddly satisfying.
To me, it seems like AlphaStar is actually at a disadvantage in its ability to micro, and has to make up for this in its macro level strategy.
Earlier quoted context omitted.
>I think the coolest thing is how the play of AI mirrors a similar style to how pros have developed I mean, the agents have learned the game from pro replays so to me it seems obvious it would evolve to play the same strats human pros use.
My understanding is that Alphastar is trained on reinforcement learning. I suspect this is unsupervised so it would have learned this behaviour independently without pro replays.
[1] https://deepmind.com/blog/alphastar-mastering-real-time-stra...
Earlier quoted context omitted.
It is a little disappointing that Mana's win was achieved in part by simply exploiting Alphastar's poor response to the immortal drops by doing it over and over again. In contrast, Lee Sedol's win versus AlphaGo involved profound strategy and a particularly inspired "divine move" that humans get to brag about.
I agree that this makes Lee Sedol's one win against AlphaGo even more impressive. But deepmind also felt ready to host this event and it chose European pros to compete with not Asian pros, who arguably have better micro and innovate a lot of the new meta.
Incidentally, though, the strongest Starcraft II player currently is arguably Serral [1], who is Finnish. He beat the strongest Korean players to win the WCS World Championship last year.
[1] https://liquipedia.net/starcraft2/Serral
* at least TLO's skill level when offracing as Protoss. His main race, Zerg, is very strong, ranked around 70-80th in the world.
The live exhibition match definitely made Alphastar look like a machine making the decisions, not a super smart being. The micro was obviously impressive but that should also be the easiest part to master. I share the sentiment that DeepMind is hosting big events to paint a very one-sided picture of man vs machine, so this last win of mana feels oddly satisfying.
They limited the APM to 180 for AlphaStar's input I think. An average professional player consistently plays at 200-300 APM with peak levels generally going to 350-400 APM during engagements. To me, it seems like AlphaStar is actually at a disadvantage in its ability to micro, and has to make up for this in its macro level strategy.