pictura-25a22192·1 events·first seen Aliases: Pictura
Researchers introduce Pictura, a GPU-accelerated multi-agent driving simulator that renders each agent's egocentric camera view at every training step, enabling self-play without privileged observations like exact poses or velocities. Using Pictura, they train Alberti via PPO over 50B agent steps (~35M km of driving), the first large-scale driving policy trained directly from perspective images. Alberti approaches the performance of privileged vectorized counterparts and zero-shot transfers to Waymo Open Motion Dataset layouts, outperforming privileged agents there. The work addresses a longstanding representation gap between simulation-trained policies and real deployed agents.