Resumen de Reinforcement Learning Experiments Running Efficiently over Widly Heterogeneous Computer Farms

Borja Fernández Gauna , Xabier Larrucea Uriarte , Manuel Graña Romay

• Researchers working with Reinforcement Learning typically face issues that severely hinder the efficiency of their research workflow. These issues include high computational requirements, numerous hyperparameters that must be set manually, and the high probability of failing a lot of times before success. In this paper, we present some of the challenges our research has faced and the way we have tackled successfully them in an innovative software platform.We provide some benchmarking results that show the improvements introduced by the new platform.