Distributed Optimization, Game and Learning Algorithms: Theory and Applications in Smart Grid Systems

Cooperative Distributed Optimization in Multiagent Networks with Delays.- Constrained Consensus of Multi-Agent Systems with Time-Varying Topology.- Distributed Optimization under Inequality Constraints and Random Projections.- Accelerated Distributed Optimization over Digraphs with Stochastic Matrices.- Linear Convergence for Constrained Optimization over Time-Varying Digraphs.- Stochastic Gradient-Push for Economic Dispatch on Time-Varying Digraphs.- Reinforcement Learning in Energy Trading Game Among Smart Microgrids.- Reinforcement Learning for Constrained Games with Incomplete Information.- Reinforcement Learning for PHEV Route Choice based on Congestion Game.