Chapter

Reinforcement Learning for Elevator Optimization
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1:10:28 - 1:16:18 (05:50)

The application of reinforcement learning and neural net can help modify the heuristics elevator banks use for decision making in maximizing throughput and stoppage on floors in the most optimal manner.

Clips
The key to achieving success may not just be confidence, but unbreakable hope and a little dream, mixed with a healthy dose of skepticism, problem-solving, and utilizing all of life's experiences.
1:10:28 - 1:11:20 (00:51)
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Success
Summary

The key to achieving success may not just be confidence, but unbreakable hope and a little dream, mixed with a healthy dose of skepticism, problem-solving, and utilizing all of life's experiences.

Chapter
Reinforcement Learning for Elevator Optimization
Episode
#144 – Michael Littman: Reinforcement Learning and the Future of AI
Podcast
Lex Fridman Podcast
Researchers have investigated the use of neural networks and reinforcement learning to optimize elevator controls for maximal efficiency, with success in simulation studies.
1:11:20 - 1:12:52 (01:32)
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Neural Networks
Summary

Researchers have investigated the use of neural networks and reinforcement learning to optimize elevator controls for maximal efficiency, with success in simulation studies.

Chapter
Reinforcement Learning for Elevator Optimization
Episode
#144 – Michael Littman: Reinforcement Learning and the Future of AI
Podcast
Lex Fridman Podcast
This transcript discusses the development of AlphaGo Zero and its self-play mechanism, which didn't receive a human bootstrap in the beginning stages like its prequel AlphaGo.
1:12:52 - 1:14:24 (01:31)
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AlphaGo Zero
Summary

This transcript discusses the development of AlphaGo Zero and its self-play mechanism, which didn't receive a human bootstrap in the beginning stages like its prequel AlphaGo. The transcript notes the dominance of this self-play approach in Reinforcement Learning (RL) setting for AlphaGo Zero.

Chapter
Reinforcement Learning for Elevator Optimization
Episode
#144 – Michael Littman: Reinforcement Learning and the Future of AI
Podcast
Lex Fridman Podcast
The speaker discusses the intuition behind how random behavior can turn into basic intelligent behavior, using the example of game playing as a way to take leaps towards superhuman level intelligence.
1:14:24 - 1:16:18 (01:54)
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Artificial Intelligence
Summary

The speaker discusses the intuition behind how random behavior can turn into basic intelligent behavior, using the example of game playing as a way to take leaps towards superhuman level intelligence.

Chapter
Reinforcement Learning for Elevator Optimization
Episode
#144 – Michael Littman: Reinforcement Learning and the Future of AI
Podcast
Lex Fridman Podcast