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ORCIDNasim Baharisangari
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2020 – today
- 2024
[c7]Shayan Meshkat Alsadat, Nasim Baharisangari, Yash Paliwal, Zhe Xu:
Distributed Reinforcement Learning For Swarm Systems With Reward Machines. ACC 2024: 33-38- [c6]Nasim Baharisangari, Yash Paliwal, Zhe Xu:
Counterfactually-Guided Causal Reinforcement Learning with Reward Machines. ACC 2024: 522-527 - [c5]Nasim Baharisangari, Narendhiran Saravanane, Zhe Xu:
Distributed Differentially Private Control Synthesis for Multi-Agent Systems with Metric Temporal Logic Specifications. ACC 2024: 4289-4295 - [c4]Shayan Meshkat Alsadat, Nasim Baharisangari, Zhe Xu:
Distributed on-the-fly control of multi-agent systems with unknown dynamics: Using limited data to obtain near-optimal control. L4DC 2024: 1440-1451 - 2023
- [j2]Zhe Xu
, Federico M. Zegers, Nasim Baharisangari, Bo Wu, Alexander J. Phillips, Warren E. Dixon, Ufuk Topcu:
Controller Synthesis for Multi-Agent Systems With Intermittent Communication and Metric Temporal Logic Specifications. IEEE Access 11: 91324-91335 (2023) - [c3]Rajarshi Roy, Jean-Raphaël Gaglione, Nasim Baharisangari, Daniel Neider, Zhe Xu, Ufuk Topcu:
Learning Interpretable Temporal Properties from Positive Examples Only. AAAI 2023: 6507-6515 - [c2]Yash Paliwal, Rajarshi Roy, Jean-Raphaël Gaglione, Nasim Baharisangari, Daniel Neider, Xiaoming Duan, Ufuk Topcu, Zhe Xu:
Reinforcement Learning with Temporal-Logic-Based Causal Diagrams. CD-MAKE 2023: 123-140 - [i7]Zeyuan Jin, Nasim Baharisangari, Zhe Xu, Sze Zheng Yong:
Data-Driven Model Discrimination of Switched Nonlinear Systems with Temporal Logic Inference. CoRR abs/2306.09966 (2023) - [i6]Yash Paliwal, Rajarshi Roy, Jean-Raphaël Gaglione, Nasim Baharisangari, Daniel Neider, Xiaoming Duan, Ufuk Topcu, Zhe Xu:
Reinforcement Learning with Temporal-Logic-Based Causal Diagrams. CoRR abs/2306.13732 (2023) - 2022
- [j1]Nasim Baharisangari, Kazuma Hirota, Ruixuan Yan, Agung Julius, Zhe Xu:
Weighted Graph-Based Signal Temporal Logic Inference Using Neural Networks. IEEE Control. Syst. Lett. 6: 2096-2101 (2022) - [i5]Rajarshi Roy, Jean-Raphaël Gaglione, Nasim Baharisangari, Daniel Neider, Zhe Xu, Ufuk Topcu:
Learning Interpretable Temporal Properties from Positive Examples Only. CoRR abs/2209.02650 (2022) - [i4]Nasim Baharisangari, Zhe Xu:
Distributed Differentially Private Control Synthesis for Multi-Agent Systems with Metric Temporal Logic Specifications. CoRR abs/2210.01759 (2022) - [i3]Jean-Raphaël Gaglione, Rajarshi Roy, Nasim Baharisangari, Daniel Neider, Zhe Xu, Ufuk Topcu:
Learning Temporal Logic Properties: an Overview of Two Recent Methods. CoRR abs/2212.00916 (2022) - 2021
- [c1]Nasim Baharisangari, Jean-Raphaël Gaglione, Daniel Neider, Ufuk Topcu, Zhe Xu:
Uncertainty-Aware Signal Temporal Logic Inference. VSTTE 2021: 61-85 - [i2]Nasim Baharisangari, Jean-Raphaël Gaglione, Daniel Neider, Ufuk Topcu, Zhe Xu:
Uncertainty-Aware Signal Temporal logic. CoRR abs/2105.11545 (2021) - [i1]Nasim Baharisangari, Kazuma Hirota, Ruixuan Yan, Agung Julius, Zhe Xu:
Weighted Graph-Based Signal Temporal Logic Inference Using Neural Networks. CoRR abs/2109.08078 (2021)
Coauthor Index
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