Publications

92 / 3,757 publications found.


  •  Queeney, J., Cai, X., Benosman, M., How, J.P., "GRAM: Generalization in Deep RL with a Robust Adaptation Module", arXiv, December 2024.
    BibTeX arXiv
    • @article{Queeney2024dec,
    • author = {Queeney, James and Cai, Xiaoyi and Benosman, Mouhacine and How, Jonathan P.}},
    • title = {GRAM: Generalization in Deep RL with a Robust Adaptation Module},
    • journal = {arXiv},
    • year = 2024,
    • month = dec,
    • url = {https://arxiv.org/abs/2412.04323}
    • }
  •  Mowlavi, S., Benosman, M., "Reinforcement Learning-Based Estimation for Spatio-Temporal Systems", Nature Scientific Reports, DOI: 10.1038/​s41598-024-72055-1, Vol. 14, pp. 22464, October 2024.
    BibTeX TR2024-134 PDF
    • @article{Mowlavi2024oct,
    • author = {Mowlavi, Saviz and Benosman, Mouhacine}},
    • title = {Reinforcement Learning-Based Estimation for Spatio-Temporal Systems},
    • journal = {Nature Scientific Reports},
    • year = 2024,
    • volume = 14,
    • pages = 22464,
    • month = oct,
    • doi = {10.1038/s41598-024-72055-1},
    • url = {https://www.merl.com/publications/TR2024-134}
    • }
  •  Romero, O., Benosman, M., Pappas, G., "From Convexity to Strong Convexity and Beyond: Bridging The Gap In Convergence Rates", IEEE Conference on Decision and Control (CDC), September 2024.
    BibTeX TR2024-131 PDF
    • @inproceedings{Romero2024sep,
    • author = {Romero, Orlando and Benosman, Mouhacine and Pappas, George}},
    • title = {From Convexity to Strong Convexity and Beyond: Bridging The Gap In Convergence Rates},
    • booktitle = {IEEE Conference on Decision and Control (CDC)},
    • year = 2024,
    • month = sep,
    • url = {https://www.merl.com/publications/TR2024-131}
    • }
  •  Cao, W., Gao, J., Ma, T., Ma, R., Benosman, M., Zhang, X., "ROSE-Opt: Robust and Efficient Analog Circuit Parameter Optimization with Knowledge-infused Reinforcement Learning", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, September 2024.
    BibTeX TR2024-132 PDF
    • @article{Cao2024sep,
    • author = {Cao, Weidong and Gao, Jian and Ma, Tianrui and Ma, Rui and Benosman, Mouhacine and Zhang, Xuan}},
    • title = {ROSE-Opt: Robust and Efficient Analog Circuit Parameter Optimization with Knowledge-infused Reinforcement Learning},
    • journal = {IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems},
    • year = 2024,
    • month = sep,
    • url = {https://www.merl.com/publications/TR2024-132}
    • }
  •  Zhang, X., Mao, W., Mowlavi, S., Benosman, M., Basar, T., "Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms", Learning for Dynamics & Control Conference (L4DC), July 2024, pp. 181-196.
    BibTeX TR2024-098 PDF
    • @inproceedings{Zhang2024jul2,
    • author = {Zhang, Xiangyuan and Mao, Weichao and Mowlavi, Saviz and Benosman, Mouhacine and Basar, Tamer}},
    • title = {Controlgym: Large-Scale Control Environments for Benchmarking Reinforcement Learning Algorithms},
    • booktitle = {Learning for Dynamics & Control Conference (L4DC)},
    • year = 2024,
    • pages = {181--196},
    • month = jul,
    • publisher = {PMLR},
    • url = {https://www.merl.com/publications/TR2024-098}
    • }
  •  Zhang, X., Mowlavi, S., Benosman, M., Basar, T., "Policy Optimization for PDE Control with a Warm Start", arXiv, March 2024.
    BibTeX arXiv
    • @article{Zhang2024mar,
    • author = {Zhang, Xiangyuan and Mowlavi, Saviz and Benosman, Mouhacine and Basar, Tamer},
    • title = {Policy Optimization for PDE Control with a Warm Start},
    • journal = {arXiv},
    • year = 2024,
    • month = mar,
    • url = {https://arxiv.org/abs/2403.01005}
    • }
  •  Xie, X., Mowlavi, S., Benosman, M., "Smooth and Sparse Latent Dynamics in Operator Learning with Jerk Regularization", arXiv, February 2024.
    BibTeX arXiv
    • @article{Xie2024feb,
    • author = {Xie, Xiaoyu and Mowlavi, Saviz and Benosman, Mouhacine},
    • title = {Smooth and Sparse Latent Dynamics in Operator Learning with Jerk Regularization},
    • journal = {arXiv},
    • year = 2024,
    • month = feb,
    • url = {https://arxiv.org/abs/2402.15636}
    • }
  •  Mowlavi, S., Benosman, M., "Dual Parametric and State Estimation for Partial Differential Equations", IEEE Conference on Decision and Control, DOI: 10.1109/​CDC49753.2023.10384246, December 2023, pp. 8156-8161.
    BibTeX TR2023-145 PDF
    • @inproceedings{Mowlavi2023dec,
    • author = {Mowlavi, Saviz and Benosman, Mouhacine},
    • title = {Dual Parametric and State Estimation for Partial Differential Equations},
    • booktitle = {IEEE Conference on Decision and Control (CDC)},
    • year = 2023,
    • pages = {8156--8161},
    • month = dec,
    • publisher = {IEEE},
    • doi = {10.1109/CDC49753.2023.10384246},
    • issn = {2576-2370},
    • isbn = {979-8-3503-0125-0},
    • url = {https://www.merl.com/publications/TR2023-145}
    • }
  •  Queeney, J., Benosman, M., "Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning", Advances in Neural Information Processing Systems (NeurIPS), A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine, Eds., December 2023, pp. 1659-1680.
    BibTeX TR2023-143 PDF
    • @inproceedings{Queeney2023dec,
    • author = {{Queeney, James and Benosman, Mouhacine}},
    • title = {Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning},
    • booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
    • year = 2023,
    • editor = {A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine},
    • pages = {1659--1680},
    • month = dec,
    • publisher = {Curran Associates, Inc.},
    • url = {https://www.merl.com/publications/TR2023-143}
    • }
  •  Mowlavi, S., Benosman, M., Nabi, S., "Reinforcement Learning-based Estimation for Partial Differential Equations", SIAM Conference on Applications of Dynamical Systems, May 2023.
    BibTeX TR2023-066 PDF
    • @inproceedings{Mowlavi2023may,
    • author = {Mowlavi, Saviz and Benosman, Mouhacine and Nabi, Saleh},
    • title = {Reinforcement Learning-based Estimation for Partial Differential Equations},
    • booktitle = {SIAM Conference on Applications of Dynamical Systems},
    • year = 2023,
    • month = may,
    • url = {https://www.merl.com/publications/TR2023-066}
    • }
  •  Kantana, C., Benosman, M., Ma, R., Komatsuzaki, Y., "A System Approach for Efficiency Enhancement and Linearization Technique of Dual-Input Doherty Power Amplifier", IEEE Journal of Microwaves, February 2023.
    BibTeX TR2023-008 PDF
    • @article{Kantana2023feb,
    • author = {Kantana, Chouabi and Benosman, Mouhacine and Ma, Rui and Komatsuzaki, Y.},
    • title = {A System Approach for Efficiency Enhancement and Linearization Technique of Dual-Input Doherty Power Amplifier},
    • journal = {IEEE Journal of Microwaves},
    • year = 2023,
    • month = feb,
    • url = {https://www.merl.com/publications/TR2023-008}
    • }
  •  Garg, K., Baranwal, M., Gupta, R., Benosman, M., "Fixed-Time Stable Proximal Dynamical System for Solving MVIPs", IEEE Transactions on Automatic Control, December 2022.
    BibTeX TR2022-171 PDF
    • @article{Garg2022dec,
    • author = {Garg, Kunal and Baranwal, Mayank and Gupta, Rohit and Benosman, Mouhacine},
    • title = {Fixed-Time Stable Proximal Dynamical System for Solving MVIPs},
    • journal = {IEEE Transactions on Automatic Control},
    • year = 2022,
    • month = dec,
    • url = {https://www.merl.com/publications/TR2022-171}
    • }
  •  Romero, O., Benosman, M., Pappas, G., "ODE Discretization Schemes as Optimization Algorithms", IEEE Conference on Decision and Control (CDC), December 2022.
    BibTeX TR2022-159 PDF
    • @inproceedings{Romero2022dec,
    • author = {Romero, Orlando and Benosman, Mouhacine and Pappas, Geroge},
    • title = {ODE Discretization Schemes as Optimization Algorithms},
    • booktitle = {IEEE Conference on Decision and Control (CDC)},
    • year = 2022,
    • month = dec,
    • url = {https://www.merl.com/publications/TR2022-159}
    • }
  •  Russel, R.H., Benosman, M., van Baar, J., Corcodel, R., "Lyapunov Robust Constrained-MDPs for Sim2Real Transfer Learning" in Federated and Transfer Learning, August 2022.
    BibTeX TR2022-111 PDF
    • @incollection{Russel2022aug,
    • author = {Russel, Reazul Hasan and Benosman, Mouhacine and van Baar, Jeroen and Corcodel, Radu},
    • title = {Lyapunov Robust Constrained-MDPs for Sim2Real Transfer Learning},
    • booktitle = {Federated and Transfer Learning},
    • year = 2022,
    • month = aug,
    • url = {https://www.merl.com/publications/TR2022-111}
    • }
  •  Cao, W., Benosman, M., Zhang, X., Ma, R., "Domain Knowledge-Infused Deep Learning for Automated Analog/Radio-Frequency Circuit Parameter Optimization", ACM/IEEE Design Automation Conference, July 2022.
    BibTeX TR2022-096 PDF
    • @inproceedings{Cao2022jul,
    • author = {Cao, Weidong and Benosman, Mouhacine and Zhang, Xuan and Ma, Rui},
    • title = {Domain Knowledge-Infused Deep Learning for Automated Analog/Radio-Frequency Circuit Parameter Optimization},
    • booktitle = {ACM/IEEE Design Automation Conference},
    • year = 2022,
    • month = jul,
    • url = {https://www.merl.com/publications/TR2022-096}
    • }
  •  Sun, Y., Benosman, M., Ma, R., "GaN Distributed RF Power Amplifier Automation Design with Deep Reinforcement Learning", International Conference on Artificial Intelligence Circuits and Systems (AICAS), June 2022.
    BibTeX TR2022-074 PDF
    • @inproceedings{Sun2022jun,
    • author = {Sun, Yuxiang and Benosman, Mouhacine and Ma, Rui},
    • title = {GaN Distributed RF Power Amplifier Automation Design with Deep Reinforcement Learning},
    • booktitle = {International Conference on Artificial Intelligence Circuits and Systems (AICAS)},
    • year = 2022,
    • month = jun,
    • url = {https://www.merl.com/publications/TR2022-074}
    • }
  •  Mowlavi, S., Benosman, M., Nabi, S., "Reinforcement Learning State Estimation for High-Dimensional Nonlinear Systems", International Conference on Learning Representations (ICLR) Workshop, April 2022.
    BibTeX TR2022-042 PDF
    • @inproceedings{Mowlavi2022apr,
    • author = {Mowlavi, Saviz and Benosman, Mouhacine and Nabi, Saleh},
    • title = {Reinforcement Learning State Estimation for High-Dimensional Nonlinear Systems},
    • booktitle = {International Conference on Learning Representations (ICLR) Workshop},
    • year = 2022,
    • month = apr,
    • url = {https://www.merl.com/publications/TR2022-042}
    • }
  •  Cao, W., Benosman, M., Zhang, X., Ma, R., "Domain Knowledge-Based Automated Analog Circuit Design with Deep Reinforcement Learning", AAAI Conference on Artificial Intelligence, February 2022.
    BibTeX TR2022-017 PDF
    • @inproceedings{Cao2022feb,
    • author = {Cao, Weidong and Benosman, Mouhacine and Zhang, Xuan and Ma, Rui},
    • title = {Domain Knowledge-Based Automated Analog Circuit Design with Deep Reinforcement Learning},
    • booktitle = {AAAI Conference on Artificial Intelligence},
    • year = 2022,
    • month = feb,
    • url = {https://www.merl.com/publications/TR2022-017}
    • }
  •  Kantana, C., Ma, R., Benosman, M., Komatsuzaki, Y., Yamanaka, K., "A Hybrid Heuristic Search Control Assisted Optimization of Dual-Input Doherty Power Amplifier", European Microwave Conference 2021, February 2022.
    BibTeX TR2022-012 PDF
    • @inproceedings{Kantana2022feb,
    • author = {Kantana, Chouaib and Ma, Rui and Benosman, Mouhacine and Komatsuzaki, Yuji and Yamanaka, Koji},
    • title = {A Hybrid Heuristic Search Control Assisted Optimization of Dual-Input Doherty Power Amplifier},
    • booktitle = {European Microwave Conference 2021},
    • year = 2022,
    • month = feb,
    • url = {https://www.merl.com/publications/TR2022-012}
    • }
  •  Chakrabarty, A., Benosman, M., "Safe Learning-based Observers for Unknown Nonlinear Systems using Bayesian Optimization", Automatica, DOI: 10.1016/​j.automatica.2021.109860, August 2021.
    BibTeX TR2021-101 PDF
    • @article{Chakrabarty2021aug,
    • author = {Chakrabarty, Ankush and Benosman, Mouhacine},
    • title = {Safe Learning-based Observers for Unknown Nonlinear Systems using Bayesian Optimization},
    • journal = {Automatica},
    • year = 2021,
    • month = aug,
    • doi = {10.1016/j.automatica.2021.109860},
    • url = {https://www.merl.com/publications/TR2021-101}
    • }
  •  Kalur, A., Nabi, S., Benosman, M., "Robust Adaptive Dynamic Mode Decomposition for Reduce Order Modelling of Partial Differential Equations", American Control Conference (ACC), DOI: 10.23919/​ACC50511.2021.9483319, May 2021, pp. 4497-4502.
    BibTeX TR2021-059 PDF
    • @inproceedings{Kalur2021may,
    • author = {Kalur, Aniketh and Nabi, Saleh and Benosman, Mouhacine},
    • title = {Robust Adaptive Dynamic Mode Decomposition for Reduce Order Modelling of Partial Differential Equations},
    • booktitle = {American Control Conference (ACC)},
    • year = 2021,
    • pages = {4497--4502},
    • month = may,
    • publisher = {IEEE},
    • doi = {10.23919/ACC50511.2021.9483319},
    • issn = {2378-5861},
    • isbn = {978-1-7281-9704-3},
    • url = {https://www.merl.com/publications/TR2021-059}
    • }
  •  Koga, S., Benosman, M., Borggaard, J., "Extremum Seeking-Based Observer Design for Reduced Order Models of Coupled Thermal and Fluid Systems", International Journal of Adaptive Control and Signal Processing, DOI: 10.1002/​acs.3252, April 2021.
    BibTeX TR2021-065 PDF
    • @article{Koga2021apr,
    • author = {Koga, Shumon and Benosman, Mouhacine and Borggaard, Jeff},
    • title = {Extremum Seeking-Based Observer Design for Reduced Order Models of Coupled Thermal and Fluid Systems},
    • journal = {International Journal of Adaptive Control and Signal Processing},
    • year = 2021,
    • month = apr,
    • doi = {10.1002/acs.3252},
    • url = {https://www.merl.com/publications/TR2021-065}
    • }
  •  Ma, R., Komatsuszaki, Y., Benosman, M., Yamanaka, K., Shinjo, S., "A New Frontier for Power Amplifier enabled by Machine Learning", Microwave Journal, No. 4, pp. 22-32, April 2021.
    BibTeX TR2021-030 PDF
    • @article{Ma2021apr,
    • author = {Ma, Rui and Komatsuszaki, Yuji and Benosman, Mouhacine and Yamanaka, Koji and Shinjo, Shintaro},
    • title = {A New Frontier for Power Amplifier enabled by Machine Learning},
    • journal = {Microwave Journal},
    • year = 2021,
    • number = 4,
    • pages = {22--32},
    • month = apr,
    • issn = {0192-6225},
    • url = {https://www.merl.com/publications/TR2021-030}
    • }
  •  Poveda, J., Benosman, M., Teel, A.R., Sanfelice, R.G., "Robust Coordinated Hybrid Source Seeking with Obstacle Avoidance in Multi-Vehicle Autonomous Systems", IEEE Transactions on Automatic Control, DOI: 10.1109/​TAC.2021.3056365, March 2021.
    BibTeX TR2021-022 PDF
    • @article{Poveda2021mar,
    • author = {Poveda, Jorge and Benosman, Mouhacine and Teel, Andrew R. and Sanfelice, Ricardo G.},
    • title = {Robust Coordinated Hybrid Source Seeking with Obstacle Avoidance in Multi-Vehicle Autonomous Systems},
    • journal = {IEEE Transactions on Automatic Control},
    • year = 2021,
    • month = mar,
    • doi = {10.1109/TAC.2021.3056365},
    • url = {https://www.merl.com/publications/TR2021-022}
    • }
  •  Russel, R.H., Benosman, M., van Baar, J., "Robust Constrained-MDPs: Soft-Constrained Robust Policy Optimization under Model Uncertainty", Advances in Neural Information Processing Systems (NeurIPS)-workshop, January 2021.
    BibTeX TR2021-009 PDF
    • @inproceedings{Russel2021jan,
    • author = {Russel, Reazul Hasan and Benosman, Mouhacine and van Baar, Jeroen},
    • title = {Robust Constrained-MDPs: Soft-Constrained Robust Policy Optimization under Model Uncertainty},
    • booktitle = {Advances in Neural Information Processing Systems (NeurIPS)-workshop},
    • year = 2021,
    • month = jan,
    • url = {https://www.merl.com/publications/TR2021-009}
    • }