Reinforcement Learning-based Joint Path and Energy Optimization of Cellular-Connected Unmanned Aerial Vehicles.
Arash HooshmandPublished in: CoRR (2020)
Keyphrases
- unmanned aerial vehicles
- reinforcement learning
- joint optimization
- search and rescue
- machine learning
- function approximation
- cellular automata
- autonomous systems
- path planning
- dynamic environments
- high quality
- optimal policy
- shortest path
- mathematical programming
- control algorithm
- energy consumption
- aerial vehicles