Chapter
Using Reinforcement Learning to Improve Elevator Efficiency
1:03:42 - 1:08:01 (04:18)
The speaker discusses the applications of reinforcement learning to improve elevator efficiency, stating that reward systems based on wait time can be used to maximize user satisfaction.
Clips
The speaker suggests that it is crucial to store all the interaction history if you want to develop an agent that can reanalyze old data based on new experiences.
1:03:42 - 1:05:50 (02:08)
Artificial Intelligence
Summary
The speaker suggests that it is crucial to store all the interaction history if you want to develop an agent that can reanalyze old data based on new experiences. This will help to compress the data and be selective with it.
ChapterUsing Reinforcement Learning to Improve Elevator Efficiency
Episode#75 – Marcus Hutter: Universal Artificial Intelligence, AIXI, and AGI
PodcastLex Fridman Podcast
Elevators can be programmed to prioritize certain floors based on wait time and value, similar to learning how to play a game like chess.
1:05:50 - 1:08:01 (02:10)
Elevators
Summary
Elevators can be programmed to prioritize certain floors based on wait time and value, similar to learning how to play a game like chess. This way, the elevator can function more efficiently and optimize wait times for passengers.