Human-like autonomy emerges from self-play and a pinch of human data.

arXiv:2606.19370v2 Announce Type: replace-cross Abstract: Self-play reinforcement learning has recently emerged as a way to train driving policies without any human data. It uses cheap, large-scale simulations to substitute expensive, large-scale human driving