Skip to content
0:00 / 0:00

#alphastar#deepmind#starcraftii

DeepMind StarCraft II Demonstration

Google DeepMind

940K subscribers • 4 videos on Hallway

YouTube
  • Recommended by 1 person: 1 on Lobsters.
  • Made by the vendor. The company whose product it covers made or sponsored it.
  • May be out of date. Uploaded 7 years ago, in an area where tools change fast.

Intermediate. Assumes working knowledge.

2.6M views7 years ago1 recommendation

AI and machine learningGame developmentNeural networks and deep learningReinforcement learningGame design

DeepMind demonstrates AlphaStar, its reinforcement learning agent, playing StarCraft II against professional players.

Join Artosis, RottterdaM and a cast of special guests for a unique StarCraft II showcase live from DeepMind in London, in partnership with Blizzard.

Why it's here

1 person recommends this

What people say. Recommended as a landmark demonstration of deep reinforcement learning mastering a complex real-time strategy game.

Moments people linked to

inactive-useron Lobsters • Recommends

DeepMind StarCraft II Demonstration

u/charlirmikein r/compsci • Mentions

On “Is it possible for a team of humans to beat an advanced A. I. in a FPS games?”

It really depends on how the AI is implemented. I don't think humans can reliably win against a well-trained and well-designed AI. The precision that AIs have and their calculation speed make them superhuman in FPS games. The team behind alpha star (the same team that designed alpha zero, the AI that defeated humans in Go) actually published an interesting paper on how they trained alpha star to play Starcraft II at the grandmaster level. Note that they had to nerf the AI's action per minute and limit its map reading ability to make it fair for the human players. You can learn more about it here or watch the actual matches between Alpha star and pro starcraft II players here. Giv…

u/abstractcontrolSpiralin r/ProgrammingLanguages • Mentions

On “February 2019 monthly "What are you working on?" and state of the community thread”

January was a deeply troubling month for me. * I finally accepted the fact that I am only at 1/10th of my full productivity in Spiral. It was different while it was still undergoing active development, but at this point I see this as absolutely unacceptable. * I figured out a better internal representation for closures which would speed up the compiler significantly, but I do not want to deal with the drudgery of that anymore when I could be doing RL. * I have a bunch of good ideas how to improve the language besides that - like Smalltalk's keyword arguments, but that would be even more work. * "Ah, screw it. I might have worked on Spiral for 2 years just for ML, but let me just use Pyth…
13View on Reddit