In the last few decades, machine learning has made massive progress. This progress has made machine learning useful in a wide range of studies. One of the flourishing research filed is the one that applies machine learning to gaming. Countless reinforcement learning models have been created for a wide range of game genres. Many studies and applications make use of AI agents trained with one of those models. As an example, the work the inspired this thesis proposes to use an AI agent to assess the Quality of Experience in cloud gaming services. Training an agent from zero has some inconveniences.