7/ 🔮 NOMAD substantially narrows cross-city generalization gaps, supporting scalable deployment of autonomous driving systems across diverse environments and highlighting the promise of self-play MARL for improving safety and robustness.
Paper: arxiv.org/abs/2602.15891
While autonomous vehicles have achieved reliable performance within specific operating regions, their deployment to new cities remains costly and slow. A key bottleneck is the need to collect many...
6/ 🔬 We also analyze:
• role of behavioral priors
• necessity of target-city maps
• comparison to methods that do use target-city demos
• generalization across cities
• sensitivity to KL strength
• evaluation under non-self-play agents
• effect of map mirroring
Zilin Wang
1/ 🚗 🌏 What if an autonomous vehicle could move to a new city without collecting a single human demonstration in that city?
I am so excited to introduce our new work: Learning to Drive in New Cities Without Human Demonstrations.
Zilin Wang
2/ 🤔 Autonomous vehicles now outperform humans within specific operating regions, but their deployment to new cities remains
costly and slow.
Key bottleneck: Collecting human demonstrations from new cities.
