Decentralized multi-agent reinforcement learning with networked agents: recent advances
Reinforcement learning based privacy-preserving consensus tracking control of nonstrict-feedback discrete-time multi-agent systems
Towards resilient average consensus in multi-agent systems: a detection and compensation approach
Matrix-valued distributed stochastic optimization with constraints
Distributed optimization based on improved push-sum framework for optimization problem with multiple local constraints and its application in smart grid