Reinforcement Learning (RL) is a learning framework in which an agent learns a policy from continual interaction with the environment. A policy is a mapping from states to actions. The agent receives rewards as feedback on the actions performed. The objective of RL is to design autonomous agents...

The modelling of B2B scenarios focuses on conversations between key partners to establish a common business context for their collaboration. With the prevalence of Web services, attention has turned to service choreographies as a means of message exchange ordering between collaborating...

Incrementos excesivos de los precios de la vivienda han estado históricamente correlacionados con el deterioro de los estándares crediticios de las hipotecas. No obstante, la evidencia en España muestra que la ratio préstamo-valor (LTV, por sus siglas en inglés) no refleja apropiadamente...