Took a few secs to look at the Deep Mind ActiBlizz SC2 stuff. They have the source up on GitHub, a white paper. A few Barney articles (I love you, you love me). ActiBlizz looks like they were after investor buzz with the AI machine learning keywords. Like a talking head on Investor news “ActiBlizz involved in AI and machine learning, news at eleven”.
With the SC2 AI project, as a joint project, looks like they started w/ Deep Mind staff around 17 and Blizzard staff was around 7 - that’s a total of 24 people some of them were part-time. First announcement of that SC2LE stuff was 2016 with nice fruit on the tree in 2019.
With SW metrics, whether it’s LOC or MH, the “applied” project doesn’t seem nearly as big as a AAA title like D4. D3 ROS has a credit screen that scrolls for 20+ minutes - hundreds of people involved. AAA titles easily cost $100-300 million to develop, they’re on console, their I18N, tons of contractors, voice acting, music, graphic artists, developers, QA, and so on.
I’m not saying that these AI projects aren’t impressive but just in traditional terms of cost metric (either ttl man hours, lines of code, or cost etc) - they aren’t looking to exceed a AAA like D4.
My main point was that AI projects were going to be a small focused team of experts. That seems to be born out with the articles, white paper, and interviews of the project etc.
Humerously, ActiBlizz has filed a patent for maximizing microtransaction revenue through matchmaking changes using AI. How fitting is that - corporate greed over game innovation. Of course. We should have known. They’re also using AI for moderation of Overwatch language, lol.
Maybe we don’t need AI for coming up with an accurate item ranking system? It might be overkill for just ranking.
Small sidenote on Gates was that Microsoft and OpenAI (the guys that did the AI with DOTA 2) have a partnership. So his tweet was kind of shameless self-promo a bit.
Anyway, I exceeded my 10 minutes of googling so I have to stop before I self-destruct.
Couple links:
SCII Deepmind paper -
https://tinyurl.com/rn9y7875
Source code (LOC is very small but there are additional sources)
https://github.com/deepmind/pysc2
(D3 ROS credits take 20+ minutes just to scroll by):
https://www.youtube.com/watch?v=VwKRCq0kXFU
https://digital.hbs.edu/platform-rctom/submission/activision-blizzard-atvi-using-machine-learning-for-videogames-development-and-community-moderation/
https://www.pymnts.com/news/merchant-innovation/2017/activision-machine-learning-algorithm-makes-videogamers-spend-more/
2016 announce:
https://deepmind.com/blog/announcements/deepmind-and-blizzard-release-starcraft-ii-ai-research-environment
2019 fruit on the tree:
https://deepmind.com/blog/article/AlphaStar-Grandmaster-level-in-StarCraft-II-using-multi-agent-reinforcement-learning