In the past decades, Information and Communication Technologies (ICT) have enabled the modernization of the power grid and have led to many advances in smart grid technologies, as well as smart cities. Smart grid communications facilitate a large number of grid operations, including advanced metering, fault monitoring, microgrid control, transactive energy systems, and so on. In parallel with advances in smart grids, communication technologies have been continuously evolving to provide better service to mobile users and vertical industries. Recently, machine learning has shown promising performance improvements in communication networks; benefiting many verticals around smart cities. In this talk, we introduce novel AI-based tools that will allow a P2P energy trading platform, consisting of microgrids, to become a part of the future transactive energy systems. The energy trading platform relies on robust smart grid communications. We will show our recent results on low-latency communications that use reinforcement learning to support communication needs of such energy trading platforms. Speaker(s): MEL, Virtual: https://events.vtools.ieee.org/m/390047