~/talk

Keynote: AlphaStar: How Google Infrastructure Made it Possible

Talkat Ray Summit 2020 · on Thursday, 2020-10-01· at 16:30· Virtual, Virtual· [machine-learning, distributed-systems]
links:none on file
slides:none on file

AlphaStar is a full StarCraft II agent built on Google-scale infrastructure that reached Grandmaster in human ladder play with no game restrictions. The project uses massive distributed simulation and training — running roughly one million games across a population-based training of agents over weeks — plus ablation experiments and latency/observation engineering to shrink action space and meet millisecond constraints. The system is productionized, continuously self-played, and demonstrably beats top human players.

AI-written summary · about

  1. 0:00Introduction to AlphaStar
  2. 2:17Why StarCraft is complex
  3. 4:28Evolution of AI in games
  4. 7:39AlphaStar’s technical approach
  5. 10:56Training and competition details
  6. 13:49League system and player dynamics
  7. 16:22Infrastructure and scalability
  8. 18:32Q&A and closing
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