Integrated Noise and Safety Management in UAM via A Unified Reinforcement Learning Framework

arXiv:2508.16440 · cs.MA, cs.LG · Submitted 2025-08-22 · Read on arXiv

cs.MA, cs.LG

Submitted: 2025-08-22

Updated: 2026-08-31

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Reinforcement Learning — 20× in this paper · explained in 4 episodes
• Actor — 13× in this paper · explained in 3 episodes
• Urban Air Mobility — 11× in this paper
• Action Space — 4× in this paper · explained in 1 episode
• Aggregation — 4× in this paper · explained in 1 episode
• Energy Efficiency — 4× in this paper · explained in 3 episodes
• Reward Function — 4× in this paper · explained in 2 episodes
• Deep Reinforcement Learning — 3× in this paper · explained in 2 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Multi-Agent System — 2× in this paper · explained in 5 episodes
• Reinforcement Learning (RL) — 2× in this paper · explained in 25 episodes
• Actor-Critic Model — 1× in this paper · explained in 1 episode
• Adaptability — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Deep Reinforcement Learning (DRL) — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Formal Methods — 1× in this paper · explained in 3 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Markov Decision Process (MDP) — 1× in this paper · explained in 11 episodes
• Multi-Agent Reinforcement Learning (MARL) — 1× in this paper · explained in 4 episodes
• NASA Revolutionary Vertical Lift Technology — 1× in this paper
• National Aeronautics and Space Administration — 1× in this paper
• Proximal Policy Optimization (PPO) — 1× in this paper · explained in 4 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• A Deep Multi-Agent Reinforcement Learning Approach to Autonomous Separation Assurance
• Proximal Policy Optimization Algorithms

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