A distributed multiagent deep reinforcement learning algorithm (DMADRLA) with theoretical guarantees is proposed for the distributed nonconvex constraint optimization problem. This algorithm provides ...

The bounded variance, gradient Lipschitz, and unbiased stochastic gradient are three key assumptions for ensuring the convergence and generalization of stochastic methods, especially in nonconvex ...