Perception and Structure
Leslie discusses the complexities of perception in intelligent systems, emphasizing the need to define what the output should be when creating integrated agents. She highlights the importance of building structures akin to convolution that facilitate efficient learning, addressing the current uncertainties in connecting perception to broader cognitive functions.In this clip
From this podcast
Lex Fridman Podcast
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15
Related Questions
How does perception work in the context of the episode Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15 and the clip Perception and Structure, as well as in the context of the episode Andrew Huberman: Neuroscience of Optimal Performance | Lex Fridman Podcast #139 and the clip Exploring Reality's Layers, and the episode Donald Hoffman: Reality is an Illusion - How Evolution Hid the Truth | Lex Fridman Podcast #293 and the clip Detaching from Reality?
Do you have anything to add to the statement: "We have a map of visual space. Certain neurons are seeing things in certain portions of visual space and not others" from the episode Andrew Huberman: Neuroscience of Optimal Performance | Lex Fridman Podcast #139 and the clip Neural Abstraction Insights in relation to the episodes Dr. Sam Harris: Using Meditation to Focus, View Consciousness & Expand Your Mind | Huberman Lab 105 and Visual Perception Insights?