publications

in reversed chronological order. For an up-to-date list, please see my google scholar page.

2024

  1. Talebi, S., Alemzadeh, S., & Mesbahi, M. (2024). Data-Driven Structured Policy Iteration for Homogeneous Distributed Systems. IEEE Trans on Automatic Control (TAC), 69(9), 5979–5994.
  2. Talebi, S., Zheng, Y., Kraisler, S., Li, N., & Mesbahi, M. (2024). Policy Optimization in Control: Geometry and Algorithmic Implications. In Encyclopedia of Systems and Control Theor (to appear). arXiv preprint arXiv:2406.04243. Elsevier.
  3. Talebi, S., & Mesbahi, M. (2024). Policy optimization over submanifolds for linearly constrained feedback synthesis. IEEE Transactions on Automatic Control, 69(5), 3024–3039.
  4. Talebi, S., & Li, N. (2024). Uniform Ergodicity and Ergodic-Risk Constrained Policy Optimization. ArXiv Preprint ArXiv:2409.10767.
  5. Zhang, Y., Talebi, S., & Li, N. (2024). Learning Low-dimensional Latent Dynamics from High- dimensional Observations: Non-asymptotics and Lower Bounds. Proc. of the 41st Int Conf on Machine Learning (ICML), 235, 59851–59896.

2023

  1. Deole, A., Talebi, S., Kraisler, S., Rahimi, N., Mesbahi, M., Bandyopadhyay, S., Gehlot, V. P., Seto, W., Rahmani, A., & Becktor, J. (2023). Multi-Agent Passivity-based Control for Perception-based Guidance. AIAA SCITECH 2023 Forum, 2156.
  2. Bandyopadhyay, S., Gehlot, V. P., Seto, W., Rahmani, A., Kraisler, S., Talebi, S., \textDeole, \textA., Rahimi, N., Mesbahi, M., & Becktor, J. (2023). Vision-based Distributed Pose Estimation using a Spacecraft Constellation. AIAA SCITECH 2023 Forum, 2506.
  3. Kraisler, S., Talebi, S., & Mesbahi, M. (2023). Distributed consensus on manifolds using the Riemannian center of mass. 2023 IEEE Conf on Control Tech. and App., 130–135.
  4. Kraisler, S., Talebi, S., & Mesbahi, M. (2023). Consensus on Lie groups for the Riemannian Center of Mass. 2023 62nd IEEE Conf on Decision and Control , 4461–4466.
  5. Talebi, S., Taghvaei, A., & Mesbahi, M. (2023). Duality-based stochastic policy optimization for estimation with unknown noise covariances. 2023 American Control Conference (ACC), 622–627.
  6. Talebi, S., Taghvaei, A., & Mesbahi, M. (2023). Data-driven Optimal Filtering for Linear Systems with Unknown Noise Covariances. Advances in Neural Information Processing Systems (NeurIPS), 36, 69546–69585.
  7. Talebi, S. (2023). Constrained Policy Synthesis: Riemannian Flows, Online Regulation, and Distributed Games [PhD thesis]. University of Washington.

2022

  1. Talebi, S., Alemzadeh, S., Rahimi, N., & Mesbahi, M. (2022). On Regularizability and its Application to Online Control of Unstable LTI Systems. IEEE Trans on Automatic Control (TAC), 67(12), 6413–6428.
  2. Rahimi, N., Talebi, S., & others. (2022). Robust Controller Synthesis for Vision-based Spacecraft Guidance and Control. AIAA SciTech 2022 Forum, 2213.
  3. Becktor, J., Seto, W., Deole, A., Bandyopadhyay, S., Rahimi, N., Talebi, S., Mesbahi, M., & Rahmani, A. (2022). Robust Vision-based Multi-spacecraft Guidance Navigation Control using CNN-based Pose Estimation. 2022 IEEE Aerospace Conference.
  4. Talebi, S., & Mesbahi, M. (2022). Riemannian Constrained Policy Optimization via Geometric Stability Certificates. 2022 61th IEEE Conf on Decision and Control , 1472–1478.

2021

  1. Yu, Y., Talebi, S., & others. (2021). On Controllability and Persistency of Excitation in Data-Driven Control: Ext. of Willems’ Fundamental Lemma. 60th IEEE Conf on Decision and Control , 6485–6490.
  2. Talebi, S., & others. (2021). Distributed Model-Free Policy Iteration for Networks of Homogeneous Systems. 2021 60th IEEE Conference on Decision and Control , 6970–6975.

2020

  1. Alemzadeh, S., & others. (2020). Resource Allocation for Infrastructure Resilience using Artificial Neural Networks. 32nd Int Conf on Tools with Artificial Intelligence (ICTAI), 617–624.
  2. Talebi, S., Alemzadeh, S., Rahimi, N., & Mesbahi, M. (2020). Online Regulation of Unstable Linear Systems from a Single Trajectory. IEEE Conference on Decision and Control (CDC), 4784–4789.

2019

  1. Talebi, S., Simaan, M. A., & Qu, Z. (2019). All-Against-One Linear-Quadratic Differential Games. ArXiv Preprint ArXiv:1902.10292.
  2. Talebi, S., Simaan, M. A., & Qu, Z. (2019). Decision-making in complex dynamical systems of systems with one opposing subsystem. 18th European Control Conf, 2789–2795.
  3. Talebi, S., Alemzadeh, S., Ratliff, L. J., & Mesbahi, M. (2019). Distributed learning in network games: a dual averaging approach. 58th IEEE Conference on Decision and Control, 5544–5549.
  4. Talebi, S., Simaan, M. A., & Qu, Z. (2019). Cooperative Design of Systems of Systems Against Attack on One Subsystem. 58th Conf on Decision and Control , 7313–7318.

2018

  1. Talebi, S., & Simaan, M. A. (2018). SIMPE: A Simulation Platform for Multi-Player Pursuit-Evasion Problems. 2018 IEEE 14th Int Conf on Control and Automation (ICCA).

2017

  1. Talebi, S., Simaan, M. A., & Qu, Z. (2017). Cooperative, non-cooperative and greedy pursuers strategies in multi-player pursuit-evasion games. 2017 IEEE Conf on Control Technology and Applications (CCTA), 2049–2056.
  2. Talebi, S., & Simaan, M. A. (2017). Multi-pursuer pursuit-evasion games under parameters uncertainty: A Monte Carlo approach. 12th Sys. of Sys. Eng. Conf, 1–6.
  3. Talebi, S. (2017). An All-Against-One Game Approach for the Multi-Player Pursuit-Evasion Problem. [Masters Thesis] Electronic Theses and Dissertations. 5933.