Preprint on heterogeneous self-play algorithms for realistic highway traffic simulation. Applies multi-agent reinforcement learning to improve autonomous vehicle behavior in complex driving scenarios.
Research
Heterogeneous Self-Play for Realistic Highway Traffic Simulation
Heterogeneous self-play agents generate realistic multi-vehicle highway interactions for autonomous vehicle training without manual scenario engineering.
Tuesday, April 21, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.AIBY sys://pipeline
Tags
research