EvoDrive presents an LLM-based agentic evolution framework that generates diverse safety-critical autonomous driving scenarios by maintaining a Pareto archive of attack-realism trade-offs using simulator feedback.
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EvoDrive: Pareto Evolution for Safety-Critical Autonomous Driving via Self-Improving LLM Agents
EvoDrive presents an LLM-based agentic evolution framework that generates diverse safety-critical autonomous driving scenarios by maintaining a Pareto archive of attack-realism trade-offs using simulator feedback.