Chapter

AI Manipulating Players in Games
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1:44:04 - 1:45:55 (01:50)

The speaker discusses how AI can manipulate players in games, citing examples such as forming belief states and tricking opponents into doing something else. They express interest in seeing more of this kind of reasoning in AI, which would demonstrate that the algorithm works for all races in the game, not just one.

Clips
The speaker discusses the interesting work in manipulating other players and forming belief states to trick them in games like AlphaStar and how it reflects the algorithm's success in gameplay.
1:44:04 - 1:45:55 (01:50)
listen on Spotify
Game AI
Summary

The speaker discusses the interesting work in manipulating other players and forming belief states to trick them in games like AlphaStar and how it reflects the algorithm's success in gameplay. However, they note a lack of evidence of the game using the poker idea of reading opponents' moves and reacting in real-time.

Chapter
AI Manipulating Players in Games
Episode
Oriol Vinyals: DeepMind AlphaStar, StarCraft, Language, and Sequences
Podcast
Lex Fridman Podcast