Grouped by publication type, each group listed in reverse chronological order (numbers count up from my earliest work in that category, so the most recent entry carries the highest number). For an up-to-date list, please see my google scholar page.
Journal Articles, Book Chapters & Theses
Talebi, S., & Li, N. (2026). Ergodic-Risk Criterion for Stochastically Stabilizing Policy Optimization. SIAM Journal on Control and Optimization, 64(3), 2001–2025. https://doi.org/10.1137/25M1733276
@article{talebi2026ergodic,
author = {Talebi, Shahriar and Li, Na},
title = {Ergodic-Risk Criterion for Stochastically Stabilizing Policy Optimization},
journal = {{SIAM} Journal on Control and Optimization},
volume = {64},
number = {3},
pages = {2001--2025},
year = {2026},
publisher = {{SIAM}},
doi = {10.1137/25M1733276},
url = {https://epubs.siam.org/doi/10.1137/25M1733276},
pdf = {/assets/papers_pdf/talebi2026ergodic.pdf},
eprint = {2409.10767},
eprinttype = {arXiv},
archiveprefix = {arXiv},
note = {Preprint: arXiv:2409.10767 (``Uniform Ergodicity and Ergodic-Risk Constrained Policy Optimization'')}
}
Talebi, S., & Mesbahi, M. (2024). Policy Optimization Over Submanifolds for Linearly Constrained
Feedback Synthesis. IEEE Transactions on Automatic Control, 69(5), 3024–3039. https://doi.org/10.1109/TAC.2023.3306384
@article{talebi2024policyopt,
author = {Talebi, Shahriar and Mesbahi, Mehran},
title = {Policy Optimization Over Submanifolds for Linearly Constrained
Feedback Synthesis},
journal = {{IEEE} Transactions on Automatic Control},
volume = {69},
number = {5},
pages = {3024--3039},
year = {2024},
publisher = {{IEEE}},
doi = {10.1109/TAC.2023.3306384},
url = {https://ieeexplore.ieee.org/document/10224332},
pdf = {/assets/papers_pdf/talebi2024policyopt.pdf},
eprint = {2201.11157},
eprinttype = {arXiv},
archiveprefix = {arXiv},
selected = true
}
Alemzadeh, S., Talebi, S., & Mesbahi, M. (2024). Data-Driven Structured Policy Iteration for Homogeneous
Distributed Systems. IEEE Transactions on Automatic Control, 69(9), 5979–5994. https://doi.org/10.1109/TAC.2024.3366038
@article{talebi2024data,
author = {Alemzadeh, Siavash and Talebi, Shahriar and Mesbahi, Mehran},
title = {Data-Driven Structured Policy Iteration for Homogeneous
Distributed Systems},
journal = {{IEEE} Transactions on Automatic Control},
volume = {69},
number = {9},
pages = {5979--5994},
year = {2024},
publisher = {{IEEE}},
doi = {10.1109/TAC.2024.3366038},
url = {https://ieeexplore.ieee.org/document/10436325},
pdf = {/assets/papers_pdf/talebi2024data.pdf},
eprint = {2103.11572},
eprinttype = {arXiv},
archiveprefix = {arXiv},
note = {Preprint: arXiv:2103.11572 (``D3PI: Data-Driven Distributed Policy Iteration'')},
selected = true
}
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 Engineering. Elsevier. https://doi.org/10.48550/arXiv.2406.04243
@incollection{talebi2024policy,
author = {Talebi, Shahriar and Zheng, Yang and Kraisler, Spencer and Li, Na and Mesbahi, Mehran},
title = {Policy Optimization in Control: Geometry and Algorithmic Implications},
booktitle = {Encyclopedia of Systems and Control Engineering},
publisher = {Elsevier},
year = {2024},
eprint = {2406.04243},
eprinttype = {arXiv},
archiveprefix = {arXiv},
doi = {10.48550/arXiv.2406.04243},
url = {https://arxiv.org/abs/2406.04243},
pdf = {/assets/papers_pdf/talebi2024policy.pdf},
note = {To appear; publisher landing page not yet locatable on ScienceDirect},
selected = true
}
Talebi, S., & Sepulchre, R. (2023). Shahriar Talebi [PhDs in Control]. IEEE Control Systems Magazine, 43(6), 128–167. https://doi.org/10.1109/MCS.2023.3310372
@article{talebi2023phs,
author = {Talebi, Shahriar and Sepulchre, Rodolphe},
journal = {IEEE Control Systems Magazine},
title = {Shahriar Talebi [PhDs in Control]},
year = {2023},
volume = {43},
number = {6},
pages = {128-167},
keywords = {Interviews},
pdf = {/assets/papers_pdf/talebi2023phd.pdf},
doi = {10.1109/MCS.2023.3310372}
}
Talebi, S. (2023). Constrained Policy Synthesis: Riemannian Flows, Online Regulation,
and Distributed Games [PhD thesis, University of Washington]. https://search.proquest.com/openview/93b112462b67959040252b4b35d321f9/1?pq-origsite=gscholar&cbl=18750&diss=y
@phdthesis{talebi2023constrained,
author = {Talebi, Shahriar},
title = {Constrained Policy Synthesis: Riemannian Flows, Online Regulation,
and Distributed Games},
school = {University of Washington},
address = {Seattle, WA, USA},
year = {2023},
url = {https://search.proquest.com/openview/93b112462b67959040252b4b35d321f9/1?pq-origsite=gscholar&cbl=18750&diss=y},
pdf = {/assets/papers_pdf/talebi2023constrained.pdf},
link = {https://search.proquest.com/openview/93b112462b67959040252b4b35d321f9/1?pq-origsite=gscholar&cbl=18750&diss=y},
note = {Ph.D. dissertation; also deposited in the UW ResearchWorks Archive}
}
Talebi, S., Alemzadeh, S., Rahimi, N., & Mesbahi, M. (2022). On Regularizability and Its Application to Online Control of
Unstable LTI Systems. IEEE Transactions on Automatic Control, 67(12), 6413–6428. https://doi.org/10.1109/TAC.2021.3131148
@article{talebi2022regularizability,
author = {Talebi, Shahriar and Alemzadeh, Siavash and Rahimi, Niyousha and Mesbahi, Mehran},
title = {On Regularizability and Its Application to Online Control of
Unstable {LTI} Systems},
journal = {{IEEE} Transactions on Automatic Control},
volume = {67},
number = {12},
pages = {6413--6428},
year = {2022},
publisher = {{IEEE}},
doi = {10.1109/TAC.2021.3131148},
url = {https://ieeexplore.ieee.org/document/9627635},
pdf = {/assets/papers_pdf/talebi2022regularizability.pdf},
eprint = {2006.00125},
eprinttype = {arXiv},
archiveprefix = {arXiv},
selected = true
}
Talebi, S. (2017). An All-Against-One Game Approach for the Multi-Player
Pursuit-Evasion Problem [Master's thesis, University of Central Florida]. https://stars.library.ucf.edu/etd/5933/
@mastersthesis{talebi2017all,
author = {Talebi, Shahriar},
title = {An All-Against-One Game Approach for the Multi-Player
Pursuit-Evasion Problem},
school = {University of Central Florida},
address = {Orlando, FL, USA},
year = {2017},
url = {https://stars.library.ucf.edu/etd/5933/},
pdf = {/assets/papers_pdf/talebi2017all.pdf},
link = {https://stars.library.ucf.edu/etd/5933/},
note = {Electronic Theses and Dissertations, 5933 (open access).
The link etd/5464 in papers.bib is incorrect.}
}
Preprints and Under Review
Park, S., Zhang, F., Mirzasoleiman, B., Talebi, S., & Sehatbakhsh, N. (2026). Your Model Already Knows: Attention-Guided Safety Filter for
Vision-Language-Action Models. https://doi.org/10.48550/arXiv.2606.09749
@misc{park2026your,
author = {Park, Seongbin and Zhang, Fan and Mirzasoleiman, Baharan and Talebi, Shahriar and Sehatbakhsh, Nader},
title = {Your Model Already Knows: Attention-Guided Safety Filter for
Vision-Language-Action Models},
year = {2026},
eprint = {2606.09749},
eprinttype = {arXiv},
archiveprefix = {arXiv},
primaryclass = {cs.RO},
doi = {10.48550/arXiv.2606.09749},
url = {https://arxiv.org/abs/2606.09749},
pdf = {/assets/papers_pdf/park2026your.pdf},
note = {Preprint; no published venue found as of August 2026}
}
Talebi, S., Simaan, M. A., & Qu, Z. (2019). All-Against-One Linear-Quadratic Differential Games. https://doi.org/10.48550/arXiv.1902.10292
@misc{talebi2019all,
author = {Talebi, Shahriar and Simaan, Marwan A. and Qu, Zhihua},
title = {All-Against-One Linear-Quadratic Differential Games},
year = {2019},
eprint = {1902.10292},
eprinttype = {arXiv},
archiveprefix = {arXiv},
primaryclass = {math.OC},
doi = {10.48550/arXiv.1902.10292},
url = {https://arxiv.org/abs/1902.10292},
pdf = {/assets/papers_pdf/talebi2019all.pdf},
note = {Preprint; no published venue found as of August 2026}
}
Conference Proceedings
Rostami, M., Talebi, S., & Kia, S. S. (2026, December). Scalar Federated Learning for Linear Quadratic Regulator. 2026 65nd IEEE Conference on Decision and Control (CDC). https://doi.org/10.48550/arXiv.2604.05088
@inproceedings{rostami2026scalar,
author = {Rostami, Mohammadreza and Talebi, Shahriar and Kia, Solmaz S.},
title = {Scalar Federated Learning for Linear Quadratic Regulator},
booktitle = {2026 65nd {IEEE} Conference on Decision and Control ({CDC})},
address = {Honolulu, Hawaii, USA},
month = dec,
year = {2026},
eprint = {2604.05088},
eprinttype = {arXiv},
archiveprefix = {arXiv},
doi = {10.48550/arXiv.2604.05088},
url = {https://arxiv.org/abs/2604.05088},
pdf = {/assets/papers_pdf/rostami2026scalar.pdf}
}
Bier, L., & Talebi, S. (2026, December). Learning Kalman Policy for Singular Unknown Covariances via
Riemannian Regularization. 2026 65nd IEEE Conference on Decision and Control (CDC). https://doi.org/10.48550/arXiv.2604.05071
@inproceedings{bier2026learning,
author = {Bier, Larsen and Talebi, Shahriar},
title = {Learning Kalman Policy for Singular Unknown Covariances via
Riemannian Regularization},
booktitle = {2026 65nd {IEEE} Conference on Decision and Control ({CDC})},
address = {Honolulu, Hawaii, USA},
month = dec,
year = {2026},
eprint = {2604.05071},
eprinttype = {arXiv},
archiveprefix = {arXiv},
doi = {10.48550/arXiv.2604.05071},
url = {https://arxiv.org/abs/2604.05071},
pdf = {/assets/papers_pdf/bier2026learning.pdf}
}
Nitschke, P., & Talebi, S. (2026). Hereditary Geometric Meta-RL: Nonlocal Generalization via Task Symmetries. 2026 American Control Conference (ACC). https://doi.org/10.48550/arXiv.2603.00396
@inproceedings{nitschke2026hereditary,
author = {Nitschke, Paul and Talebi, Shahriar},
title = {Hereditary Geometric Meta-RL: Nonlocal Generalization via Task Symmetries},
year = {2026},
booktitle = {2026 American Control Conference ({ACC})},
address = {New Orleans, LA, USA},
eprint = {2603.00396},
eprinttype = {arXiv},
archiveprefix = {arXiv},
primaryclass = {cs.LG},
doi = {10.48550/arXiv.2603.00396},
url = {https://arxiv.org/abs/2603.00396},
pdf = {/assets/papers_pdf/nitschke2026hereditary.pdf},
note = {Preprint; no published venue found as of August 2026}
}
Hu, Y., Talebi, S., & Li, N. (2025). Risk-Sensitive Affine Control Synthesis for Stationary LTI Systems. 2025 American Control Conference (ACC), 4363–4368. https://doi.org/10.23919/ACC63710.2025.11107942
@inproceedings{hu2025risk,
author = {Hu, Yang and Talebi, Shahriar and Li, Na},
title = {Risk-Sensitive Affine Control Synthesis for Stationary {LTI} Systems},
booktitle = {2025 American Control Conference ({ACC})},
address = {Denver, CO, USA},
pages = {4363--4368},
publisher = {{IEEE}},
month = jul,
year = {2025},
doi = {10.23919/ACC63710.2025.11107942},
url = {https://ieeexplore.ieee.org/document/11107942},
pdf = {/assets/papers_pdf/hu2025risk.pdf},
eprint = {2410.17581},
eprinttype = {arXiv},
archiveprefix = {arXiv}
}
Talebi, S., & Li, N. (2025). Ergodic-Risk Constrained Policy Optimization: The Linear Quadratic Case. 2025 American Control Conference (ACC), 4391–4396. https://doi.org/10.23919/ACC63710.2025.11107570
@inproceedings{talebi2025ergodic,
author = {Talebi, Shahriar and Li, Na},
title = {Ergodic-Risk Constrained Policy Optimization: The Linear Quadratic Case},
booktitle = {2025 American Control Conference ({ACC})},
address = {Denver, CO, USA},
pages = {4391--4396},
publisher = {{IEEE}},
month = jul,
year = {2025},
doi = {10.23919/ACC63710.2025.11107570},
url = {https://ieeexplore.ieee.org/document/11107570},
pdf = {/assets/papers_pdf/talebi2025ergodic.pdf},
eprint = {2503.05878},
eprinttype = {arXiv},
archiveprefix = {arXiv}
}
Zhang, Y., Talebi, S., & Li, N. (2024). Learning Low-dimensional Latent Dynamics from High-dimensional
Observations: Non-asymptotics and Lower Bounds. Proceedings of the 41st International Conference on Machine
Learning (ICML), 235, 59851–59896. https://doi.org/10.48550/arXiv.2405.06089
@inproceedings{zhang2024learning,
author = {Zhang, Yuyang and Talebi, Shahriar and Li, Na},
title = {Learning Low-dimensional Latent Dynamics from High-dimensional
Observations: Non-asymptotics and Lower Bounds},
booktitle = {Proceedings of the 41st International Conference on Machine
Learning ({ICML})},
series = {Proceedings of Machine Learning Research},
volume = {235},
pages = {59851--59896},
publisher = {{PMLR}},
address = {Vienna, Austria},
month = jul,
year = {2024},
url = {https://proceedings.mlr.press/v235/zhang24bh.html},
pdf = {/assets/papers_pdf/zhang2024learning.pdf},
eprint = {2405.06089},
eprinttype = {arXiv},
archiveprefix = {arXiv},
doi = {10.48550/arXiv.2405.06089},
selected = true
}
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. https://doi.org/10.48550/arXiv.2305.17836
@inproceedings{talebi2023dataFilter,
author = {Talebi, Shahriar and Taghvaei, Amirhossein and Mesbahi, Mehran},
title = {Data-driven Optimal Filtering for Linear Systems with Unknown
Noise Covariances},
booktitle = {Advances in Neural Information Processing Systems ({NeurIPS})},
volume = {36},
pages = {69546--69585},
publisher = {Curran Associates, Inc.},
address = {New Orleans, LA, USA},
month = dec,
year = {2023},
url = {https://proceedings.neurips.cc/paper_files/paper/2023/hash/dbe8185809cb7032ec7ec6e365e3ed3b-Abstract-Conference.html},
pdf = {/assets/papers_pdf/talebi2023dataFilter.pdf},
eprint = {2305.17836},
eprinttype = {arXiv},
archiveprefix = {arXiv},
doi = {10.48550/arXiv.2305.17836},
selected = true
}
Kraisler, S., Talebi, S., & Mesbahi, M. (2023). Consensus on Lie Groups for the Riemannian Center of Mass. 2023 62nd IEEE Conference on Decision and Control (CDC), 4461–4466. https://doi.org/10.1109/CDC49753.2023.10384031
@inproceedings{kraisler2023consensus,
author = {Kraisler, Spencer and Talebi, Shahriar and Mesbahi, Mehran},
title = {Consensus on Lie Groups for the Riemannian Center of Mass},
booktitle = {2023 62nd {IEEE} Conference on Decision and Control ({CDC})},
address = {Singapore},
pages = {4461--4466},
publisher = {{IEEE}},
month = dec,
year = {2023},
doi = {10.1109/CDC49753.2023.10384031},
url = {https://ieeexplore.ieee.org/document/10384031},
pdf = {/assets/papers_pdf/kraisler2023consensus.pdf},
eprint = {2308.08054},
eprinttype = {arXiv},
archiveprefix = {arXiv}
}
Kraisler, S., Talebi, S., & Mesbahi, M. (2023). Distributed Consensus on Manifolds using the Riemannian Center of Mass. 2023 IEEE Conference on Control Technology and Applications (CCTA), 130–135. https://doi.org/10.1109/CCTA54093.2023.10253227
@inproceedings{kraisler2023distributed,
author = {Kraisler, Spencer and Talebi, Shahriar and Mesbahi, Mehran},
title = {Distributed Consensus on Manifolds using the Riemannian Center of Mass},
booktitle = {2023 {IEEE} Conference on Control Technology and Applications ({CCTA})},
address = {Bridgetown, Barbados},
pages = {130--135},
publisher = {{IEEE}},
month = aug,
year = {2023},
doi = {10.1109/CCTA54093.2023.10253227},
url = {https://ieeexplore.ieee.org/document/10253227},
pdf = {/assets/papers_pdf/kraisler2023distributed.pdf}
}
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. https://doi.org/10.23919/ACC55779.2023.10155989
@inproceedings{talebi2023duality,
author = {Talebi, Shahriar and Taghvaei, Amirhossein and Mesbahi, Mehran},
title = {Duality-Based Stochastic Policy Optimization for Estimation with
Unknown Noise Covariances},
booktitle = {2023 American Control Conference ({ACC})},
address = {San Diego, CA, USA},
pages = {622--627},
publisher = {{IEEE}},
month = jun,
year = {2023},
doi = {10.23919/ACC55779.2023.10155989},
url = {https://ieeexplore.ieee.org/document/10155989},
pdf = {/assets/papers_pdf/talebi2023duality.pdf},
eprint = {2210.14878},
eprinttype = {arXiv},
archiveprefix = {arXiv}
}
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. https://doi.org/10.2514/6.2023-2156
@inproceedings{deole2023multi,
author = {Deole, Aditya and Talebi, Shahriar and Kraisler, Spencer and Rahimi, Niyousha and Mesbahi, Mehran and Bandyopadhyay, Saptarshi and Gehlot, Vinod P. and Seto, William and Rahmani, Amir and Becktor, Jonathan},
title = {Multi-Agent Passivity-based Control for Perception-based Guidance},
booktitle = {{AIAA} {SCITECH} 2023 Forum},
pages = {2156},
publisher = {{AIAA}},
year = {2023},
doi = {10.2514/6.2023-2156},
url = {https://arc.aiaa.org/doi/10.2514/6.2023-2156},
pdf = {/assets/papers_pdf/deole2023multi.pdf}
}
Bandyopadhyay, S., Gehlot, V. P., Seto, W., Rahmani, A., Kraisler, S., Talebi, S., Deole, A., Rahimi, N., Mesbahi, M., & Becktor, J. (2023). Vision-based Distributed Pose Estimation using a Spacecraft Constellation. AIAA SCITECH 2023 Forum, 2506. https://doi.org/10.2514/6.2023-2506
@inproceedings{bandyopadhyay2023vision,
author = {Bandyopadhyay, Saptarshi and Gehlot, Vinod P. and Seto, William and Rahmani, Amir and Kraisler, Spencer and Talebi, Shahriar and Deole, Aditya and Rahimi, Niyousha and Mesbahi, Mehran and Becktor, Jonathan},
title = {Vision-based Distributed Pose Estimation using a Spacecraft Constellation},
booktitle = {{AIAA} {SCITECH} 2023 Forum},
pages = {2506},
publisher = {{AIAA}},
year = {2023},
doi = {10.2514/6.2023-2506},
url = {https://arc.aiaa.org/doi/10.2514/6.2023-2506},
pdf = {/assets/papers_pdf/bandyopadhyay2023vision.pdf}
}
Talebi, S., & Mesbahi, M. (2022). Riemannian Constrained Policy Optimization via Geometric
Stability Certificates. 2022 61st IEEE Conference on Decision and Control (CDC), 1472–1478. https://doi.org/10.1109/CDC51059.2022.9992877
@inproceedings{talebi2022riemannian,
author = {Talebi, Shahriar and Mesbahi, Mehran},
title = {Riemannian Constrained Policy Optimization via Geometric
Stability Certificates},
booktitle = {2022 61st {IEEE} Conference on Decision and Control ({CDC})},
address = {Canc{\'u}n, Mexico},
pages = {1472--1478},
publisher = {{IEEE}},
month = dec,
year = {2022},
doi = {10.1109/CDC51059.2022.9992877},
url = {https://ieeexplore.ieee.org/document/9992877},
pdf = {/assets/papers_pdf/talebi2022riemannian.pdf}
}
Becktor, J., Seto, W., Deole, A., Bandyopadhyay, S., Rahimi, N., Talebi, S., Mesbahi, M., & Rahmani, A. (2022, March). Robust Vision-based Multi-spacecraft Guidance Navigation and Control
using CNN-based Pose Estimation. 2022 IEEE Aerospace Conference. https://doi.org/10.1109/AERO53065.2022.9843396
@inproceedings{becktor2022robust,
author = {Becktor, Jonathan and Seto, William and Deole, Aditya and Bandyopadhyay, Saptarshi and Rahimi, Niyousha and Talebi, Shahriar and Mesbahi, Mehran and Rahmani, Amir},
title = {Robust Vision-based Multi-spacecraft Guidance Navigation and Control
using {CNN}-based Pose Estimation},
booktitle = {2022 {IEEE} Aerospace Conference},
address = {Big Sky, MT, USA},
publisher = {{IEEE}},
month = mar,
year = {2022},
doi = {10.1109/AERO53065.2022.9843396},
url = {https://ieeexplore.ieee.org/document/9843396},
pdf = {/assets/papers_pdf/becktor2022robust.pdf}
}
Rahimi, N., Talebi, S., Mesbahi, M., & others. (2022). Robust Controller Synthesis for Vision-based Spacecraft Guidance
and Control. AIAA SciTech 2022 Forum, 2213. https://doi.org/10.2514/6.2022-2213
@inproceedings{rahimi2022robust,
author = {Rahimi, Niyousha and Talebi, Shahriar and Mesbahi, Mehran and others},
title = {Robust Controller Synthesis for Vision-based Spacecraft Guidance
and Control},
booktitle = {{AIAA} {SciTech} 2022 Forum},
pages = {2213},
publisher = {{AIAA}},
year = {2022},
doi = {10.2514/6.2022-2213},
url = {https://arc.aiaa.org/doi/10.2514/6.2022-2213},
pdf = {/assets/papers_pdf/rahimi2022robust.pdf},
note = {Full author list not resolved -- verify against the AIAA record}
}
Yu, Y., Talebi, S., van Waarde, H. J., Topcu, U., Mesbahi, M., & Açıkmeşe, B. (2021). On Controllability and Persistency of Excitation in Data-Driven
Control: Extensions of Willems’ Fundamental Lemma. 2021 60th IEEE Conference on Decision and Control (CDC), 6485–6490. https://doi.org/10.1109/CDC45484.2021.9682952
@inproceedings{yu2021controllability,
author = {Yu, Yue and Talebi, Shahriar and van Waarde, Henk J. and Topcu, Ufuk and Mesbahi, Mehran and A{\c{c}}{\i}kme{\c{s}}e, Beh{\c{c}}et},
title = {On Controllability and Persistency of Excitation in Data-Driven
Control: Extensions of Willems' Fundamental Lemma},
booktitle = {2021 60th {IEEE} Conference on Decision and Control ({CDC})},
address = {Austin, TX, USA},
pages = {6485--6490},
publisher = {{IEEE}},
month = dec,
year = {2021},
doi = {10.1109/CDC45484.2021.9682952},
url = {https://ieeexplore.ieee.org/document/9682952},
pdf = {/assets/papers_pdf/yu2021controllability.pdf},
eprint = {2102.02953},
eprinttype = {arXiv},
archiveprefix = {arXiv}
}
Talebi, S., Alemzadeh, S., & Mesbahi, M. (2021). Distributed Model-Free Policy Iteration for Networks of
Homogeneous Systems. 2021 60th IEEE Conference on Decision and Control (CDC), 6970–6975. https://doi.org/10.1109/CDC45484.2021.9683331
@inproceedings{talebi2021distributed,
author = {Talebi, Shahriar and Alemzadeh, Siavash and Mesbahi, Mehran},
title = {Distributed Model-Free Policy Iteration for Networks of
Homogeneous Systems},
booktitle = {2021 60th {IEEE} Conference on Decision and Control ({CDC})},
address = {Austin, TX, USA},
pages = {6970--6975},
publisher = {{IEEE}},
month = dec,
year = {2021},
doi = {10.1109/CDC45484.2021.9683331},
url = {https://ieeexplore.ieee.org/document/9683331},
pdf = {/assets/papers_pdf/talebi2021distributed.pdf}
}
Talebi, S., Alemzadeh, S., Rahimi, N., & Mesbahi, M. (2020). Online Regulation of Unstable Linear Systems from a Single Trajectory. 2020 59th IEEE Conference on Decision and Control (CDC), 4784–4789. https://doi.org/10.1109/CDC42340.2020.9304196
@inproceedings{talebi2020online,
author = {Talebi, Shahriar and Alemzadeh, Siavash and Rahimi, Niyousha and Mesbahi, Mehran},
title = {Online Regulation of Unstable Linear Systems from a Single Trajectory},
booktitle = {2020 59th {IEEE} Conference on Decision and Control ({CDC})},
address = {Jeju Island, South Korea},
pages = {4784--4789},
publisher = {{IEEE}},
month = dec,
year = {2020},
doi = {10.1109/CDC42340.2020.9304196},
url = {https://ieeexplore.ieee.org/document/9304196},
pdf = {/assets/papers_pdf/talebi2020online.pdf}
}
Alemzadeh, S., Talebiyan, H., Talebi, S., Dueñas-Osorio, L., & Mesbahi, M. (2020). Resource Allocation for Infrastructure Resilience using Artificial
Neural Networks. 2020 32nd IEEE International Conference on Tools with Artificial
Intelligence (ICTAI), 617–624. https://doi.org/10.1109/ICTAI50040.2020.00100
@inproceedings{alemzadeh2020resource,
author = {Alemzadeh, Siavash and Talebiyan, Hesam and Talebi, Shahriar and Due{\~{n}}as{-}Osorio, Leonardo and Mesbahi, Mehran},
title = {Resource Allocation for Infrastructure Resilience using Artificial
Neural Networks},
booktitle = {2020 32nd {IEEE} International Conference on Tools with Artificial
Intelligence ({ICTAI})},
address = {Baltimore, MD, USA},
pages = {617--624},
publisher = {{IEEE}},
month = nov,
year = {2020},
doi = {10.1109/ICTAI50040.2020.00100},
url = {https://ieeexplore.ieee.org/document/9288193},
pdf = {/assets/papers_pdf/alemzadeh2020resource.pdf},
eprint = {2007.05880},
eprinttype = {arXiv},
archiveprefix = {arXiv},
note = {Preprint: arXiv:2007.05880 (``Deep Learning-based Resource Allocation for Infrastructure Resilience'')}
}
Talebi, S., Alemzadeh, S., Ratliff, L. J., & Mesbahi, M. (2019). Distributed Learning in Network Games: A Dual Averaging Approach. 2019 58th IEEE Conference on Decision and Control (CDC), 5544–5549. https://doi.org/10.1109/CDC40024.2019.9030002
@inproceedings{talebi2019distributed,
author = {Talebi, Shahriar and Alemzadeh, Siavash and Ratliff, Lillian J. and Mesbahi, Mehran},
title = {Distributed Learning in Network Games: A Dual Averaging Approach},
booktitle = {2019 58th {IEEE} Conference on Decision and Control ({CDC})},
address = {Nice, France},
pages = {5544--5549},
publisher = {{IEEE}},
month = dec,
year = {2019},
doi = {10.1109/CDC40024.2019.9030002},
url = {https://ieeexplore.ieee.org/document/9030002},
pdf = {/assets/papers_pdf/talebi2019distributed.pdf}
}
Talebi, S., Simaan, M. A., & Qu, Z. (2019). Cooperative Design of Systems of Systems Against Attack on One Subsystem. 2019 58th IEEE Conference on Decision and Control (CDC), 7313–7318. https://doi.org/10.1109/CDC40024.2019.9029565
@inproceedings{talebi2019cooperative,
author = {Talebi, Shahriar and Simaan, Marwan A. and Qu, Zhihua},
title = {Cooperative Design of Systems of Systems Against Attack on One Subsystem},
booktitle = {2019 58th {IEEE} Conference on Decision and Control ({CDC})},
address = {Nice, France},
pages = {7313--7318},
publisher = {{IEEE}},
month = dec,
year = {2019},
doi = {10.1109/CDC40024.2019.9029565},
url = {https://ieeexplore.ieee.org/document/9029565},
pdf = {/assets/papers_pdf/talebi2019cooperative.pdf}
}
Talebi, S., Simaan, M. A., & Qu, Z. (2019). Decision-Making in Complex Dynamical Systems of Systems With One
Opposing Subsystem. 2019 18th European Control Conference (ECC), 2789–2795. https://doi.org/10.23919/ECC.2019.8796292
@inproceedings{talebi2019decision,
author = {Talebi, Shahriar and Simaan, Marwan A. and Qu, Zhihua},
title = {Decision-Making in Complex Dynamical Systems of Systems With One
Opposing Subsystem},
booktitle = {2019 18th European Control Conference ({ECC})},
address = {Naples, Italy},
pages = {2789--2795},
publisher = {{IEEE}},
month = jun,
year = {2019},
doi = {10.23919/ECC.2019.8796292},
url = {https://ieeexplore.ieee.org/document/8796292},
pdf = {/assets/papers_pdf/talebi2019decision.pdf}
}
Talebi, S., & Simaan, M. A. (2018). SIMPE: A Simulation Platform for Multi-Player Pursuit-Evasion Problems. 2018 IEEE 14th International Conference on Control And
Automation (ICCA), 344–349. https://doi.org/10.1109/ICCA.2018.8444258
@inproceedings{talebi2018simpe,
author = {Talebi, Shahriar and Simaan, Marwan A.},
title = {{SIMPE}: A Simulation Platform for Multi-Player Pursuit-Evasion Problems},
booktitle = {2018 {IEEE} 14th International Conference on Control and
Automation ({ICCA})},
address = {Anchorage, AK, USA},
pages = {344--349},
publisher = {{IEEE}},
month = jun,
year = {2018},
doi = {10.1109/ICCA.2018.8444258},
url = {https://ieeexplore.ieee.org/document/8444258},
pdf = {/assets/papers_pdf/talebi2018simpe.pdf}
}
Talebi, S., Simaan, M. A., & Qu, Z. (2017). Cooperative, Non-Cooperative and Greedy Pursuers Strategies in
Multi-Player Pursuit-Evasion Games. 2017 IEEE Conference on Control Technology and Applications (CCTA), 2049–2056. https://doi.org/10.1109/CCTA.2017.8062755
@inproceedings{talebi2017cooperative,
author = {Talebi, Shahriar and Simaan, Marwan A. and Qu, Zhihua},
title = {Cooperative, Non-Cooperative and Greedy Pursuers Strategies in
Multi-Player Pursuit-Evasion Games},
booktitle = {2017 {IEEE} Conference on Control Technology and Applications ({CCTA})},
address = {Mauna Lani Resort, HI, USA},
pages = {2049--2056},
publisher = {{IEEE}},
month = aug,
year = {2017},
doi = {10.1109/CCTA.2017.8062755},
url = {https://ieeexplore.ieee.org/document/8062755},
pdf = {/assets/papers_pdf/talebi2017cooperative.pdf}
}
Talebi, S., & Simaan, M. A. (2017). Multi-Pursuer Pursuit-Evasion Games Under Parameters Uncertainty:
A Monte Carlo Approach. 2017 12th System of Systems Engineering Conference (SoSE), 1–6. https://doi.org/10.1109/SYSOSE.2017.7994937
@inproceedings{talebi2017multi,
author = {Talebi, Shahriar and Simaan, Marwan A.},
title = {Multi-Pursuer Pursuit-Evasion Games Under Parameters Uncertainty:
{A} Monte Carlo Approach},
booktitle = {2017 12th System of Systems Engineering Conference ({SoSE})},
address = {Waikoloa, HI, USA},
pages = {1--6},
publisher = {{IEEE}},
month = jun,
year = {2017},
doi = {10.1109/SYSOSE.2017.7994937},
url = {https://ieeexplore.ieee.org/document/7994937},
pdf = {/assets/papers_pdf/talebi2017multi.pdf}
}