16 citations · 20 across the 8 of their papers we have counts for
9 papers
Data-Driven Structured Policy Iteration for Homogeneous Distributed Systems
Siavash Alemzadeh, Shahriar Talebi, Mehran Mesbahi
Control of networked systems, comprised of interacting agents, is often achieved through modeling the underlying interactions. Constructing accurate models of such interactions--in…
Adaptive Traffic Control with Deep Reinforcement Learning: Towards State-of-the-art and Beyond
Siavash Alemzadeh, Ramin Moslemi, Ratnesh Sharma +1
In this work, we study adaptive data-guided traffic planning and control using Reinforcement Learning (RL). We shift from the plain use of classic methods towards state-of-the-art…
Deep Learning-based Resource Allocation for Infrastructure Resilience
Siavash Alemzadeh, Hesam Talebiyan, Shahriar Talebi +2
From an optimization point of view, resource allocation is one of the cornerstones of research for addressing limiting factors commonly arising in applications such as power outage…
On Regularizability and its Application to Online Control of Unstable LTI Systems
Shahriar Talebi, Siavash Alemzadeh, Niyousha Rahimi +1
Learning, say through direct policy updates, often requires assumptions such as knowing a priori that the initial policy (gain) is stabilizing, or persistently exciting (PE) input-…
Distributed Q-Learning for Dynamically Decoupled Systems
Siavash Alemzadeh, Mehran Mesbahi
Control of large-scale networked systems often necessitates the availability of complex models for the interactions amongst the agents. However in many applications, building accur…
Influence Models on Layered Uncertain Networks: A Guaranteed-Cost Design Perspective
Siavash Alemzadeh, Mehran Mesbahi
Control and estimation on large-scale social networks often necessitate the availability of models for the interactions amongst the agents. However characterizing accurate models o…
Linear Model Regression on Time-series Data: Non-asymptotic Error Bounds and Applications
Atiye Alaeddini, Siavash Alemzadeh, Afshin Mesbahi +1
Data-driven methods for modeling dynamic systems have received considerable attention as they provide a mechanism for control synthesis directly from the observed time-series data.…
Controllability and data-driven identification of bipartite consensus on nonlinear signed networks
Mathias Hudoba de Badyn, Siavash Alemzadeh, Mehran Mesbahi
Nonlinear networked systems are of interest in several areas of research, such as multi-agent systems and social networks. In this paper, we examine the controllability of several…
Controllability and Stabilizability Analysis of Signed Consensus Networks
Siavash Alemzadeh, Mathias Hudoba de Badyn, Mehran Mesbahi
Signed networks have been a topic of recent interest in the network control community as they allow studying antagonistic interactions in multi-agent systems. Although dynamical ch…