753 citations · 5.3k across the 110 of their papers we have counts for
12 papers · 1 filter
Adaptive Penalty-Based Distributed Stochastic Convex Optimization
Zaid J. Towfic, Ali H. Sayed
In this work, we study the task of distributed optimization over a network of learners in which each learner possesses a convex cost function, a set of affine equality constraints,…
Distributed Policy Evaluation Under Multiple Behavior Strategies
Sergio Valcarcel Macua, Jianshu Chen, Santiago Zazo +1
We apply diffusion strategies to develop a fully-distributed cooperative reinforcement learning algorithm in which agents in a network communicate only with their immediate neighbo…
On the Learning Behavior of Adaptive Networks - Part I: Transient Analysis
Jianshu Chen, Ali H. Sayed
This work carries out a detailed transient analysis of the learning behavior of multi-agent networks, and reveals interesting results about the learning abilities of distributed st…
On the Learning Behavior of Adaptive Networks - Part II: Performance Analysis
Jianshu Chen, Ali H. Sayed
Part I of this work examined the mean-square stability and convergence of the learning process of distributed strategies over graphs. The results identified conditions on the netwo…
Asynchronous Adaptation and Learning over Networks - Part III: Comparison Analysis
Xiaochuan Zhao, Ali H. Sayed
In Part II [3] we carried out a detailed mean-square-error analysis of the performance of asynchronous adaptation and learning over networks under a fairly general model for asynch…
Asynchronous Adaptation and Learning over Networks - Part II: Performance Analysis
Xiaochuan Zhao, Ali H. Sayed
In Part I \cite{Zhao13TSPasync1}, we introduced a fairly general model for asynchronous events over adaptive networks including random topologies, random link failures, random data…