Q-learning-based routing inspired by adaptive flocking control for collaborative unmanned aerial vehicle swarms.
Muhammad Morshed AlamSangman MohPublished in: Veh. Commun. (2023)
Keyphrases
- unmanned aerial vehicles
- cooperative
- dynamic environments
- swarm intelligence
- path planning
- adaptive control
- control system
- reinforcement learning
- aerial vehicles
- flight control
- routing algorithm
- multi agent
- particle swarm optimization
- control algorithm
- bio inspired
- action selection
- traffic signal
- potential field
- collaborative learning
- autonomous agents
- ground truth
- state space
- control method
- learning algorithm