A deep reinforcement learning approach to assess the low-altitude airspace capacity for urban air mobility.
Asal MehditabriziMahdi SamadzadSina SabzekarPublished in: CoRR (2023)
Keyphrases
- low altitude
- air traffic
- reinforcement learning
- high altitude
- aerial images
- human mobility
- air traffic control
- urban areas
- urban planning
- function approximation
- robotic control
- mobile agents
- mobility patterns
- learning algorithm
- temporal difference
- deep learning
- learning process
- air force
- state space
- reinforcement learning algorithms
- optimal control
- mobile users
- learning problems
- policy search
- model free
- mobile networks
- flight path