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

A new adversarial training method for autonomous vehicle motion planning uses multi-agent self-play to improve robustness in rare, safety-critical traffic scenarios.

Impact
30/100
Current rank score
10.88
Source tier
Tier 1
Category
Research
Read the full story at arxiv.org

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