Chapter

Training Policies for a Supervised Learning Approach in StarCraft II
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30:39 - 38:37 (07:58)

The speaker talks about how policy iteration approaches and reinforcement learning can be used in the context of StarCraft II. They can train a policy of small trees, and then they will learn this policy iteration approach to resolve the problem of training a network that can play to a specific skill level.

Clips
The approach of AlphaStar in predicting the next action is similar to that of machine translation specifically in natural language processing given all the previous observations and actions taken.
30:39 - 32:49 (02:10)
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AlphaStar
Summary

The approach of AlphaStar in predicting the next action is similar to that of machine translation specifically in natural language processing given all the previous observations and actions taken.

Chapter
Training Policies for a Supervised Learning Approach in StarCraft II
Episode
Oriol Vinyals: DeepMind AlphaStar, StarCraft, Language, and Sequences
Podcast
Lex Fridman Podcast
Researchers have trained an AI system, called AlphaStars, to learn from human experience and imitate the commands and actions of a player in a popular video game called Starcraft II.
32:49 - 35:41 (02:51)
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Artificial Intelligence
Summary

Researchers have trained an AI system, called AlphaStars, to learn from human experience and imitate the commands and actions of a player in a popular video game called Starcraft II. The system can be trained to mimic different skill levels of human players, allowing for more accurate and diverse testing.

Chapter
Training Policies for a Supervised Learning Approach in StarCraft II
Episode
Oriol Vinyals: DeepMind AlphaStar, StarCraft, Language, and Sequences
Podcast
Lex Fridman Podcast
The speaker discusses strategies for improving gameplay in Starcraft II, including controlling clocked units, improving skills in specific areas, and aiming for Grand Master level.
35:41 - 38:37 (02:55)
listen on Spotify
Starcraft II
Summary

The speaker discusses strategies for improving gameplay in Starcraft II, including controlling clocked units, improving skills in specific areas, and aiming for Grand Master level.

Chapter
Training Policies for a Supervised Learning Approach in StarCraft II
Episode
Oriol Vinyals: DeepMind AlphaStar, StarCraft, Language, and Sequences
Podcast
Lex Fridman Podcast