Data‐Driven Consensus for Markov Jump Singularly Perturbed Multi‐Agent Systems: A Novel Parallel Hybrid Learning Scheme
A model‐based parallel hybrid learning method is developed for multi‐agent systems to obtain fast convergence speed and meet the stability requirement for initial policy and a model‐free parallel hybrid learning framework is proposed, which solely relies on state and control input data from each agent and its neighbori...