Half of the course is devoted to reinforcement learning with the focus on the policy gradient and deep Q-network algorithms. The remaining material covers algorithms for federated learning including ...

CATALOG DESCRIPTION: Design and analysis of advanced algorithms: graph algorithms; maximal network flows; min-cost flow algorithms; convex cost flows. REQUIRED TEXT ...