Reinforcement Learning-Based Control for Unmanned Aerial Vehicles
Reinforcement Learning-Based Control for Unmanned Aerial Vehicles is a scholarly work, published in 2018 in ''Journal of Communications and Information Networks''. The main subjects of the publication include unmanned aerial vehicle, drone, computer security, security hacker, artificial intelligence, reinforcement learning, real property, missile guidance, multi-agent system, artificial neural network, Adversary, control in organization management, scheme, computer science, and benchmark. The authors propose a reinforcement learning-based control framework to prevent unauthorized UAVs from entering a target area in a dynamic game without being aware of the UAV attack model.