Abstract for: A hybrid approach combining System Dynamic and Reinforcement Learning to improve organizational decision-making processes.

In this "work in progress", we are trying to integrate System Dynamic simulation with Reinforcement Learning in order to improve the decision-making process in organization. Having a model that represents the organization's goals and main variables, we will follow two different approaches: * Using System Dynamic models as reward evaluation. * Hibrydizing Reinforcement learning into the simulations The main discussions are related to the way to integrate both approaches, how to handle the uncertainty, and how to reduce the dependency on fine-tunned parameters, among others.