A probabilistic approach to heterogeneous sensor placement: Algorithm and reward design [under preparation]
Published in , 2023
Paper under prepration
Publications
Heterogeneous sensor placement under uncertainty considering sensor quality [under preparation]
Published in , 2023
Paper under prepration
Robustness guarantees via adversarial agent sets, a game theoretic approach [under preparation]
Published in , 2023
Paper under prepration
Measurement Optimization under Uncertainty using Deep Reinforcement Learning
Published in arxiv preprint, 2023
Recommended citation: Jabini, A., & Johnson, E. A. (2023). Measurement Optimization under Uncertainty using Deep Reinforcement Learning. arXiv preprint arXiv:2303.09750. https://arxiv.org/abs/2303.09750
A Deep Reinforcement Learning Approach to Sensor Placement under Uncertainty
Published in Proceedings of the 9th IFAC Symposium on Mechatronic Systems, MECHATRONICS 2022, Los Angeles, California, 2022
Recommended citation: Jabini, A., & Johnson, E. A. (2022). A Deep Reinforcement Learning Approach to Sensor Placement under Uncertainty. IFAC-PapersOnLine, 55(27), 178-183. https://www.sciencedirect.com/science/article/pii/S2405896322025617
Probabilistic Blind Identification Of Soil-Structure Systems Using Extended Kalman Filter
Published in 11NCEE, 2018
This paper is from my masters work
Recommended citation: Jabini, A., M. Mahsuli, and S. F. Ghahari. "PROBABILISTIC BLIND IDENTIFICATION OF SOIL-STRUCTURE SYSTEMS USING EXTENDED KALMAN FILTER." https://www.semanticscholar.org/paper/PROBABILISTIC-BLIND-IDENTIFICATION-OF-SYSTEMS-USING-Jabini-Mahsuli/ba1d28f8bf9fe279f89e54cc16a26e96a8c46c85