AINeutralarXiv – CS AI · 10h ago6/10
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Value-Decomposed Reinforcement Learning Framework for Taxiway Routing with Hierarchical Conflict-Aware Observations
Researchers present CaTR, a reinforcement learning framework that optimizes real-time taxiway routing and conflict avoidance for multiple aircraft at airports. The system uses hierarchical traffic representation and value-decomposed learning to balance safety and efficiency, demonstrating superior performance compared to traditional planning and optimization methods while maintaining practical computational speed.