Part 8/15:
This simulation-based trial-and-error process amplifies the diversity of training data, allowing Tesla to explore scenarios that would be prohibitively rare or dangerous to reproduce physically.
Key Requirements for Effective RL:
High-fidelity physics simulation to mimic real-world dynamics.
Massive computational resources, often involving thousands of GPUs running in parallel.
Dynamic scenario generation: Varying parameters like vehicle speed, environment conditions, pedestrian behaviors, etc., to produce a broad spectrum of situations.