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Stability and Convergence of Distributed Stochastic Approximations with large Unbounded Stochastic Information Delays
We generalize the Borkar-Meyn stability Theorem (BMT) to distributed stochastic approximations (SAs) with information delays that possess an arbitrary moment bound.
Distributed gradient-based optimization in the presence of dependent aperiodic communication
We show: If for any $p \ge0$ the processes that describe the success of communication between agents in a SSC network are $\alpha$-mixing with $n^{p-1}\alpha(n)$ summable, then the associated AoI processes are stochastically dominated by a random variable with finite $p$-th moment.
3DPG: Distributed Deep Deterministic Policy Gradient Algorithms for Networked Multi-Agent Systems
We prove the asymptotic convergence of 3DPG even in the presence of potentially unbounded Age of Information (AoI).
Deep reinforcement learning for scheduling in large-scale networked control systems
This work considers the problem of control and resource scheduling in networked systems.
