3 resultados para Policy Learning
em Universidad del Rosario, Colombia
Resumo:
Este trabajo contribuye al análisis de la incidencia del paradigma del Desarrollo Urbano Sostenible en el proceso de toma de decisiones legislativas en Colombia, concentrándose en la discusión y definición de la agenda legislativa sobre asuntos urbanos, durante el periodo 1991-2006.
Resumo:
Investigación exploratoria mixta siguiendo un método deductivo con la que se logró caracterizar el grado de utilización de innovación en el sector bancario y su utilidad en la adquisición de ventajas competitivas con la ayuda de del modelo del Radar de Innovación.
Resumo:
In this paper, we employ techniques from artificial intelligence such as reinforcement learning and agent based modeling as building blocks of a computational model for an economy based on conventions. First we model the interaction among firms in the private sector. These firms behave in an information environment based on conventions, meaning that a firm is likely to behave as its neighbors if it observes that their actions lead to a good pay off. On the other hand, we propose the use of reinforcement learning as a computational model for the role of the government in the economy, as the agent that determines the fiscal policy, and whose objective is to maximize the growth of the economy. We present the implementation of a simulator of the proposed model based on SWARM, that employs the SARSA(λ) algorithm combined with a multilayer perceptron as the function approximation for the action value function.