Although tabular reinforcement learning (RL) methods have been proved to converge to an optimal policy, the combination of particular conventional reinforcement learning techniques...
Abstract— This paper presents a methodology for the decentralised control of multiple 3-dimensional nonholonomic agents. The proposed control scheme is based on Navigation Functi...
1 A system of coupled differential equations is formulated which learns priors for modelling "preattentive" textures. It is derived from an energy functional consisting o...
Abstract— Wireless Mesh Networks are a scalable and costeffective solution for next-generation wireless networking. In the present work, we consider the Round Weighting Problem (...
Minimization methods for training feed-forward networks with Backpropagation are compared. Feedforward network training is a special case of functional minimization, where no expli...
Syed Muhammad Aqil Burney, Tahseen Ahmed Jilani, C...