Integrated Noise and Safety Management in UAM via A Unified Reinforcement Learning Framework
A reinforcement learning (RL)-based air traffic management system that integrates both noise and safety considerations within a unified, decentralized framework and demonstrates strong performance across both objectives and reveals tradeoffs among separation, noise exposure, and energy efficiency under high traffic density.