Chapter

Reinforcement Learning Models for Pedestrian Movement
listen on Spotify
50:54 - 53:46 (02:51)

Researchers are developing reinforcement learning models to train pedestrians to move in more natural ways using real data. The focus is on creating ultra-realistic behavioral models to improve simulations.

Clips
The speaker discusses using reinforcement learning models to simulate human-like pedestrian movement, and how their simulator differs from other simulators by solving the computer graphics problem instead of the computer vision problem.
50:54 - 53:46 (02:51)
listen on Spotify
Reinforcement Learning
Summary

The speaker discusses using reinforcement learning models to simulate human-like pedestrian movement, and how their simulator differs from other simulators by solving the computer graphics problem instead of the computer vision problem.

Chapter
Reinforcement Learning Models for Pedestrian Movement
Episode
George Hotz: Comma.ai, OpenPilot, and Autonomous Vehicles
Podcast
Lex Fridman Podcast