Siavash Alemzadeh

Orcid: 0000-0002-2259-3172

According to our database1, Siavash Alemzadeh authored at least 14 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2022
On Regularizability and Its Application to Online Control of Unstable LTI Systems.
IEEE Trans. Autom. Control., 2022

2021
D3PI: Data-Driven Distributed Policy Iteration for Homogeneous Interconnected Systems.
CoRR, 2021

Distributed Model-Free Policy Iteration for Networks of Homogeneous Systems.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Adaptive Traffic Control with Deep Reinforcement Learning: Towards State-of-the-art and Beyond.
CoRR, 2020

Deep Learning-based Resource Allocation for Infrastructure Resilience.
CoRR, 2020

Online Regulation of Unstable LTI Systems from a Single Trajectory.
CoRR, 2020

Resource Allocation for Infrastructure Resilience using Artificial Neural Networks.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

Online Regulation of Unstable Linear Systems from a Single Trajectory.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Distributed Learning in Network Games: a Dual Averaging Approach.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Distributed Q-Learning for Dynamically Decoupled Systems.
Proceedings of the 2019 American Control Conference, 2019

2018
Influence Models on Layered Uncertain Networks: A Guaranteed-Cost Design Perspective.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Linear Model Regression on Time-series Data: Non-asymptotic Error Bounds and Applications.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Controllability and data-driven identification of bipartite consensus on nonlinear signed networks.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Controllability and stabilizability analysis of signed consensus networks.
Proceedings of the IEEE Conference on Control Technology and Applications, 2017


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