Now showing items 1-10 of 531
Distance and Online Learning Solutions in the Context of Modern Legal Educational Policy
(Universidad del Zulia, 2020)
International perspective on policies and quality standards for e-learning
(Suplemento Signos EAD, 2016)
The precarious futures for online learning
(Facultad de Ciencias Exactas y Naturales (FACEN), 2021)
End-to-end on-line rescheduling from Gantt chart images using deep reinforcement learning
(Taylor & Francis Ltd, 2021-11-26)
With the advent of the socio-technical manufacturing paradigm, the way in which reschedulingdecisions are taken at the shop floor has radically changed in order to guarantee highly efficient production under increasingly ...
Policy learning and policy change: exploring possibilities on the Advocacy Coalition FrameworkAprendizaje y cambio en las políticas públicas: explorando posibilidades en el Marco de las Coaliciones PromotorasAprendizado e mudança em políticas públicas: explorando possibilidades no Modelo de Coalizões de Defesa
(Escola Brasileira de Administração Pública e de Empresas da Fundação Getulio Vargas, 2020)
Learning and adaptation of a policy for dynamic order acceptance in make-to-order manufacturing
(Pergamon-Elsevier Science Ltd, 2010-02)
Order acceptance under uncertainty is a critical decision-making problem at the interface between customer relationship management and production planning of order-driven manufacturing systems. In this work, a novel approach ...
Reinforcement Learning using Gaussian Processes for Discretely Controlled Continuous Processes
(Planta Piloto de Ingeniería Química, 2013-07)
In many application domains such as autonomous avionics, power electronics and process systems engineering there exist discretely controlled continuous processes (DCCPs) which constitute a special subclass of hybrid dynamical ...
Learning budget assignment policies for autoscaling scientific workflows in the cloud
Autoscalers exploit cloud-computing elasticity to cope with the dynamic computational demands of scientific workflows. Autoscalers constantly acquire or terminate virtual machines (VMs) on-the-fly to execute workflows ...