Alexander Olshevsky

A control and optimization theorist whose work develops distributed algorithms that let networks of autonomous agents, such as vehicle formations and sensor networks, cooperate reliably. His recent research analyzes reinforcement learning methods, proving convergence guarantees and sample-complexity bounds for algorithms including temporal difference learning and actor-critic.