Post-episode multi-agent debriefing lets LLM driving agents learn concise natural-language coordination protocols that avoid collisions and merge traffic, and distillation makes the policy fast enough for near-real-time use.
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CoopReflect: Towards Natural Language Communication for Cooperative Autonomous Driving via Multi-Agent Learning
Post-episode multi-agent debriefing lets LLM driving agents learn concise natural-language coordination protocols that avoid collisions and merge traffic, and distillation makes the policy fast enough for near-real-time use.