709 citations · 2.5k across the 39 of their papers we have counts for
6 papers · 1 filter
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…
A Primal-Dual Method for Training Recurrent Neural Networks Constrained by the Echo-State Property
Jianshu Chen, Li Deng
We present an architecture of a recurrent neural network (RNN) with a fully-connected deep neural network (DNN) as its feature extractor. The RNN is equipped with both causal tempo…
Excess-Risk of Distributed Stochastic Learners
Zaid J. Towfic, Jianshu Chen, Ali H. Sayed
This work studies the learning ability of consensus and diffusion distributed learners from continuous streams of data arising from different but related statistical distributions.…
On Distributed Online Classification in the Midst of Concept Drifts
Zaid J. Towfic, Jianshu Chen, Ali H. Sayed
In this work, we analyze the generalization ability of distributed online learning algorithms under stationary and non-stationary environments. We derive bounds for the excess-risk…