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Alpha Go Zero*, which was trained from scratch, without human games. I've also heard rumors that AlphaStar (https://deepmind.com/blog/article/alphastar-masteri
by ipsum2 6y ago
Alpha Go Zero*, which was trained from scratch, without human games.
I've also heard rumors that AlphaStar (https://deepmind.com/blog/article/alphastar-mastering-real-time-strategy-game-starcraft-ii https://deepmind.com/blog/article/alphastar-mastering-real-t...) was essentially put on hold because it was too expensive to improve/train. The bot wasn't able to beat StarCraft champions and _only_ got to a grandmaster level.
- bsaul 6y agoInteresting ! i didn't understand why they stopped the alphastar project. They pretended they reached their goal, but clearly haven't.
- NVHacker 6y agoThe goal was never to beat all pros. https://deepmind.com/blog/article/AlphaStar-Grandmaster-level-in-StarCraft-II-using-multi-agent-reinforcement-learning https://deepmind.com/blog/article/AlphaStar-Grandmaster-leve...
- sabas123 6y agoon a side note, I'm still disappointed to see that they didn't improve on the EAPM restriction to truly show they can beat humans without machine-y advantages. Still what they have accomplished is a miracle.
- phonon 6y agoThe version that later went on ladder anonymously used human-like E/APM. https://storage.googleapis.com/deepmind-media/research/alphastar/AlphaStar_unformatted.pdf https://storage.googleapis.com/deepmind-media/research/alpha...
- qayxc 6y agoThe main issue is that they need to retrain their bots for each new map, which would mean excessive training every time the map-pool changes (e.g. every 3 months or so IIRC). I'd even argue that they missed their goal by a long shot if their system isn't able to play arbitrary maps - every human player can do that no problem.
- Symmetry 6y agoAlpha Go Zero used a combination of deep learning within a classical AI Monte Carlo simulation framework. Without a similarly effective framework its not surprising that Alpha Star wasn't able to achieve similar success. I've watched a lot of Alpha Star replays and the lapses in forethought glare through pretty regularly, though other aspects of its judgement (not just reflexes!) seem frankly super human.
- embrassingstuff 6y agoWhy was MCTS (or some search variant) not used in alphastar ? (Sure, u need to somehow roll forward and rollback the StarCraft world, but for Atari using MCTS was shown to be an order of magnitude more efficient ) I have also seen comments that the search width is too large, or maybe academic purity consideration?
- __s 6y agohttps://www.youtube.com/watch?v=nbiVbd_CEIA https://www.youtube.com/watch?v=nbiVbd_CEIA At the last Blizzcon they had it around. The setup wasn't ideal, so Serral (won world finals in 2018, reached semifinals in 2019) wasn't really happy with how he played, but it won This was also a version where they'd worked on preventing its ability to micro at quadruple digit apm
- ajnin 6y agoThat match was still arguably not fair for the human because of the imperfect input and outputs he had to deal with. In the end I'm not sure it makes sense to put artificial handicaps on the machine to leave the human a chance. It's like a swimming race between a fish and some land animal but the fish is not allowed to use its fins. Sure the other guy has a better chance to win, but, what does that measure really?
- empath75 6y agoplaying at grandmaster level is a pretty astounding achievement.