AINeutralarXiv – CS AI · 14h ago6/10
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Harmonizing Real-Time Constraints and Long-Horizon Reasoning: An Asynchronous Agentic Framework for Dynamic Scheduling
Researchers introduce RACE-Sched, an asynchronous AI framework that combines real-time symbolic heuristics with LLM-powered reasoning to solve dynamic job shop scheduling problems in industrial systems. The approach decouples fast reactive execution from slower deliberative optimization, enabling superior performance over deep reinforcement learning baselines while maintaining interpretability and millisecond-level response times.