Autonomous Control of Combat Unmanned Aerial Vehicles to Evade Surface-to-Air Missiles Using Deep Reinforcement Learning.
Gyeong Taek LeeChang Ouk KimPublished in: IEEE Access (2020)
Keyphrases
- autonomous control
- unmanned aerial vehicles
- reinforcement learning
- adaptive control
- feedback control
- state space
- search and rescue
- control algorithm
- optimal control
- learning algorithm
- autonomous systems
- evolutionary computing
- dynamic environments
- evolutionary algorithm
- multi agent
- real time
- control method
- image analysis
- machine learning
- neural network