Thus, routing protocols should explicitly consider network changes into the algorithm design. In order to support ... This work proposes a Q-Learning based Adaptive Routing model (QLAR), developed via ...

thereby shortening the planning time and greatly improving the execution efficiency of the algorithm. Moreover, a dynamic exploration factor was added to the exploration mechanism of Q-learning to ...

This Python-based simulation platform can realistically model various components of the UAV network, including the network layer, MAC layer and physical layer, as well as the UAV mobility model, ...

Python implementations of some of the fundamental Machine Learning models and algorithms from scratch. The purpose of this project is not to produce as optimized and computationally efficient ...