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News/World Models as Adversaries: Multi-Agent Self-Play Fine-Tuning for Robust Motion Planning
arxiv
PublishedJuly 14, 2026 at 4:00 AM

World Models as Adversaries: Multi-Agent Self-Play Fine-Tuning for Robust Motion Planning

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arXiv:2607.10630v1 Announce Type: cross Abstract: Robust motion planning in dense traffic requires autonomous vehicles to interact in rare and safety-critical scenarios that are underrepresented in naturalistic driving data. Although adversarial training offers a feasible solution, existing methods

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