My research interests are blurred and span the space between reinforcement learning, control, and optimization, with a special view towards distributed (but networked) multi-agent systems. I’m especially interested in communication’s short- and long-run effects on decentralized learning algorithms, such as how the use of old communicated data affects learning convergence, speed of convergence, and stability.