The ISAE-SUPAERO Reinforcement Learning Initiative (SuReLI) is a vibrant group of researchers thriving to design next generation AI. We maintain a constructive, lively environment in a human-sized team that range from undergrad students to permanent academic staff, focussed on understanding AI and developping solutions that contribute positive impact on science and society. We work on state of the art algorithms, study their properties mathematically and empirically, and apply them to challenging problems to bridge a gap between theory and real applications. We focus on Reinforcement Learning for sequential decision making problems and its links with other disciplines. Our applications include: autonomous vehicles, control of optimization processes, rehabilitation exoskeleton control, Atari games, aircraft landing scheduling, satellite resources planning, sailboat and UAV planning and control.