Chapter
The Magic of One-Line Code
50:10 - 55:34 (05:24)
The ability to implement intelligence in a single line of code and the importance of worst-case analysis on sorting algorithms and reinforcement learning algorithms.
Clips
The concept of Q learning is discussed along with another algorithm for reinforcement learning, both of which are off-policy and enable one to learn about the environment's value of different actions while figuring out how to behave optimally.
50:10 - 53:02 (02:52)
Q learning, Predictions Over Time
Summary
The concept of Q learning is discussed along with another algorithm for reinforcement learning, both of which are off-policy and enable one to learn about the environment's value of different actions while figuring out how to behave optimally. The interesting idea of making predictions over time is also considered in relation to neural networks and backpropagation.
ChapterThe Magic of One-Line Code
Episode#144 – Michael Littman: Reinforcement Learning and the Future of AI
PodcastLex Fridman Podcast
The worst-case scenario in computing is often used to make developers feel good about the performance of their code, but in reality, it doesn't really matter as long as the code works with the actual set of data.
53:02 - 55:34 (02:32)
Computing
Summary
The worst-case scenario in computing is often used to make developers feel good about the performance of their code, but in reality, it doesn't really matter as long as the code works with the actual set of data.