3 accepted papers
Unmanned aerial vehicles (UAVs) used as aerial base stations show significant promise for future wireless communication systems. This paper explores using a UAV as an autonomous agent, navigating over multiple hotspots to serve ground users (GUs) and maximize data transmission rates through strategi…
This paper presents a novel self-supervised path-planning method for UAV-aided networks. First, we employed an optimizer to solve training examples offline and then used the resulting solutions as demonstrations from which the UAV can learn the world model to understand the environment and implicitl…
Active inference is a probabilistic framework for modeling intelligent agent behaviours, which drives by the principle of minimizing free energy. In this paper, we integrate the imitation learning method with active inference to minimize the expected free energy under the supervision of an expert mo…