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ORCIDMohammad Afshari
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2020 – today
- 2024
[j6]Mohammad Afshari, Dipankar Maity, Panagiotis Tsiotras:
Communication- and Control-Aware Optimal Quantizer Selection for Multi-Agent Control. IEEE Control. Syst. Lett. 8: 2385-2390 (2024)- [j5]Carl Orge Retzlaff, Srijita Das, Christabel Wayllace
, Payam Mousavi, Mohammad Afshari, Tianpei Yang, Anna Saranti, Alessa Angerschmid, Matthew E. Taylor, Andreas Holzinger:
Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities. J. Artif. Intell. Res. 79: 359-415 (2024) - [j4]Borna Sayedana, Mohammad Afshari, Peter E. Caines, Aditya Mahajan:
Strong Consistency and Rate of Convergence of Switched Least Squares System Identification for Autonomous Markov Jump Linear Systems. IEEE Trans. Autom. Control. 69(6): 3952-3959 (2024) - [c7]Yue Guan, Mohammad Afshari, Panagiotis Tsiotras:
Zero-Sum Games between Mean-Field Teams: Reachability-Based Analysis under Mean-Field Sharing. AAAI 2024: 9731-9739 - 2023
- [j3]Mohammad Afshari, Aditya Mahajan:
Decentralized Linear Quadratic Systems With Major and Minor Agents and Non-Gaussian Noise. IEEE Trans. Autom. Control. 68(8): 4666-4681 (2023) - [c6]Borna Sayedana, Mohammad Afshari, Peter E. Caines, Aditya Mahajan:
Relative Almost Sure Regret Bounds for Certainty Equivalence Control of Markov Jump Systems. CDC 2023: 6629-6634 - [i6]Yue Guan, Mohammad Afshari, Panagiotis Tsiotras:
Zero-Sum Games between Mean-Field Teams: A Common Information and Reachability based Analysis. CoRR abs/2303.12243 (2023) - 2022
- [c5]Borna Sayedana, Mohammad Afshari, Peter E. Caines, Aditya Mahajan:
Thompson-Sampling Based Reinforcement Learning for Networked Control of Unknown Linear Systems. CDC 2022: 723-730 - [c4]Yue Guan, Mohammad Afshari, Qifan Zhang, Panagiotis Tsiotras:
Hierarchical Decompositions of Stochastic Pursuit-Evasion Games. CDC 2022: 5062-5067 - [c3]Borna Sayedana, Mohammad Afshari, Peter E. Caines, Aditya Mahajan:
Consistency and Rate of Convergence of Switched Least Squares System Identification for Autonomous Markov Jump Linear Systems. CDC 2022: 6678-6685 - [c2]Tianyu Zhang, Aakash Krishna G. S, Mohammad Afshari, Petr Musílek, Matthew E. Taylor, Omid Ardakanian:
Diversity for transfer in learning-based control of buildings. e-Energy 2022: 556-564 - [i5]Yue Guan, Mohammad Afshari, Qifan Zhang, Panagiotis Tsiotras:
Hierarchical Decompositions of Stochastic Pursuit-Evasion Games. CoRR abs/2205.00885 (2022) - 2021
- [j2]Mohammad Afshari, Aditya Mahajan:
Multi-Agent Estimation and Filtering for Minimizing Team Mean-Squared Error. IEEE Trans. Signal Process. 69: 5206-5221 (2021) - [i4]Borna Sayedana, Mohammad Afshari, Peter E. Caines, Aditya Mahajan:
Consistency and Rate of Convergence of Switched Least Squares System Identification for Autonomous Switched Linear Systems. CoRR abs/2112.10753 (2021) - 2020
- [j1]Mohammad Afshari, Aditya Mahajan:
Optimal Local and Remote Controllers With Unreliable Uplink Channels: An Elementary Proof. IEEE Trans. Autom. Control. 65(8): 3616-3622 (2020) - [i3]Mohammad Afshari, Aditya Mahajan:
Decentralized linear quadratic systems with major and minor agents and non-Gaussian noise. CoRR abs/2004.11856 (2020)
2010 – 2019
- 2019
- [i2]Mohammad Afshari, Aditya Mahajan:
Team Optimal Decentralized State Estimation. CoRR abs/1903.12018 (2019) - [i1]Mohammad Afshari, Aditya Mahajan:
Optimal local and remote controllers with unreliable uplink channels: An elementary proof. CoRR abs/1911.01473 (2019) - 2018
- [c1]Mohammad Afshari, Aditya Mahajan:
Team Optimal Decentralized State Estimation. CDC 2018: 5044-5050
Coauthor Index
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