TerraZero: Procedural Driving Simulation for Zero-Demonstration Self-Play at Scale
By Zhouchonghao Wu · Paper · cs.LG
Training robust autonomous driving agents requires a simulator that is fast enough for reinforcement learning at scale, realistic enough to ground behavior in real-world map structure, and diverse enough to cover the safety-critical long tail that logged data rarely contains. We