AutoWorld: Learning Multi-Agent Traffic Simulation with Self-Supervised World Models.

arXiv:2603.28963v3 Announce Type: replace-cross Abstract: Simulation with realistic traffic agents is essential for validating autonomous driving systems. Existing data-driven simulators learn agent behavior from higher-level abstractions such as 3D bounding b