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ORCIDShahriar Talebi
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2020 – today
- 2024
[j3]Shahriar Talebi
, Mehran Mesbahi:
Policy Optimization Over Submanifolds for Linearly Constrained Feedback Synthesis. IEEE Trans. Autom. Control. 69(5): 3024-3039 (2024)- [j2]Siavash Alemzadeh, Shahriar Talebi, Mehran Mesbahi:
Data-Driven Structured Policy Iteration for Homogeneous Distributed Systems. IEEE Trans. Autom. Control. 69(9): 5979-5994 (2024) - [c15]Yuyang Zhang, Shahriar Talebi, Na Li:
Learning Low-dimensional Latent Dynamics from High-dimensional Observations: Non-asymptotics and Lower Bounds. ICML 2024 - [i12]Yuyang Zhang, Shahriar Talebi, Na Li:
Learning Low-dimensional Latent Dynamics from High-dimensional Observations: Non-asymptotics and Lower Bounds. CoRR abs/2405.06089 (2024) - [i11]Shahriar Talebi, Yang Zheng, Spencer Kraisler, Na Li, Mehran Mesbahi:
Policy Optimization in Control: Geometry and Algorithmic Implications. CoRR abs/2406.04243 (2024) - [i10]Shahriar Talebi, Na Li:
Uniform Ergodicity and Ergodic-Risk Constrained Policy Optimization. CoRR abs/2409.10767 (2024) - [i9]Yang Hu, Shahriar Talebi, Na Li:
Risk-sensitive Affine Control Synthesis for Stationary LTI Systems. CoRR abs/2410.17581 (2024) - 2023
- [c14]Shahriar Talebi, Amirhossein Taghvaei, Mehran Mesbahi:
Duality-Based Stochastic Policy Optimization for Estimation with Unknown Noise Covariances. ACC 2023: 622-627 - [c13]Spencer Kraisler, Shahriar Talebi, Mehran Mesbahi:
Distributed Consensus on Manifolds using the Riemannian Center of Mass. CCTA 2023: 130-135 - [c12]Spencer Kraisler, Shahriar Talebi, Mehran Mesbahi:
Consensus on Lie Groups for the Riemannian Center of Mass. CDC 2023: 4461-4466 - [c11]Shahriar Talebi, Amirhossein Taghvaei, Mehran Mesbahi:
Data-driven Optimal Filtering for Linear Systems with Unknown Noise Covariances. NeurIPS 2023 - [i8]Shahriar Talebi, Amirhossein Taghvaei, Mehran Mesbahi:
Data-driven Optimal Filtering for Linear Systems with Unknown Noise Covariances. CoRR abs/2305.17836 (2023) - [i7]Spencer Kraisler, Shahriar Talebi, Mehran Mesbahi:
Consensus on Lie groups for the Riemannian Center of Mass. CoRR abs/2308.08054 (2023) - 2022
- [j1]Shahriar Talebi, Siavash Alemzadeh, Niyousha Rahimi, Mehran Mesbahi:
On Regularizability and Its Application to Online Control of Unstable LTI Systems. IEEE Trans. Autom. Control. 67(12): 6413-6428 (2022) - [c10]Shahriar Talebi, Mehran Mesbahi:
Riemannian Constrained Policy Optimization via Geometric Stability Certificates∗. CDC 2022: 1472-1478 - [i6]Shahriar Talebi, Mehran Mesbahi:
Policy Optimization over Submanifolds for Constrained Feedback Synthesis. CoRR abs/2201.11157 (2022) - [i5]Shahriar Talebi, Amirhossein Taghvaei, Mehran Mesbahi:
Duality-Based Stochastic Policy Optimization for Estimation with Unknown Noise Covariances. CoRR abs/2210.14878 (2022) - 2021
- [c9]Yue Yu, Shahriar Talebi, Henk J. van Waarde, Ufuk Topcu, Mehran Mesbahi, Behçet Açikmese:
On Controllability and Persistency of Excitation in Data-Driven Control: Extensions of Willems' Fundamental Lemma. CDC 2021: 6485-6490 - [c8]Shahriar Talebi, Siavash Alemzadeh, Mehran Mesbahi:
Distributed Model-Free Policy Iteration for Networks of Homogeneous Systems. CDC 2021: 6970-6975 - [i4]Yue Yu, Shahriar Talebi, Henk J. van Waarde, Ufuk Topcu, Mehran Mesbahi, Behçet Açikmese:
On Controllability and Persistency of Excitation in Data-Driven Control: Extensions of Willems' Fundamental Lemma. CoRR abs/2102.02953 (2021) - [i3]Siavash Alemzadeh, Shahriar Talebi, Mehran Mesbahi:
D3PI: Data-Driven Distributed Policy Iteration for Homogeneous Interconnected Systems. CoRR abs/2103.11572 (2021) - 2020
- [c7]Shahriar Talebi, Siavash Alemzadeh, Niyousha Rahimi, Mehran Mesbahi:
Online Regulation of Unstable Linear Systems from a Single Trajectory. CDC 2020: 4784-4789 - [c6]Siavash Alemzadeh, Hesam Talebiyan, Shahriar Talebi, Leonardo Dueñas-Osorio, Mehran Mesbahi:
Resource Allocation for Infrastructure Resilience using Artificial Neural Networks. ICTAI 2020: 617-624 - [i2]Shahriar Talebi, Siavash Alemzadeh, Niyousha Rahimi, Mehran Mesbahi:
Online Regulation of Unstable LTI Systems from a Single Trajectory. CoRR abs/2006.00125 (2020) - [i1]Siavash Alemzadeh, Hesam Talebiyan, Shahriar Talebi, Leonardo Dueñas-Osorio, Mehran Mesbahi:
Deep Learning-based Resource Allocation for Infrastructure Resilience. CoRR abs/2007.05880 (2020)
2010 – 2019
- 2019
- [c5]Shahriar Talebi, Siavash Alemzadeh, Lillian J. Ratliff, Mehran Mesbahi:
Distributed Learning in Network Games: a Dual Averaging Approach. CDC 2019: 5544-5549 - [c4]Shahriar Talebi, Marwan A. Simaan, Zhihua Qu:
Cooperative Design of Systems of Systems Against Attack on One Subsystem. CDC 2019: 7313-7318 - [c3]Shahriar Talebi, Marwan A. Simaan, Zhihua Qu:
Decision-Making in Complex Dynamical Systems of Systems With One Opposing Subsystem. ECC 2019: 2789-2795 - 2017
- [c2]Shahriar Talebi, Marwan A. Simaan, Zhihua Qu:
Cooperative, non-cooperative and greedy pursuers strategies in multi-player pursuit-evasion games. CCTA 2017: 2049-2056 - [c1]Shahriar Talebi, Marwan A. Simaan:
Multi-pursuer pursuit-evasion games under parameters uncertainty: A Monte Carlo approach. SoSE 2017: 1-6
Coauthor Index
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last updated on 2024-11-28 20:33 CET by the dblp team
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