Farnaz Adib Yaghmaie

22 papers C 2Journal 13Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Convergence of Flow-Policy Gradient Learning for Linear Quadratic Regulator Problems. CoRR Farnaz Adib Yaghmaie, Arunava Naha
2025	—	`conf`	Identification of Linear Marginally Stable Dynamical Systems Using a Single Rollout. CDC Farnaz Adib Yaghmaie, Ramin Esmzad, Hamidreza Modares
2025	J	`jnl`	Natural Gradient Descent for Control. CoRR Ramin Esmzad, Farnaz Adib Yaghmaie, Hamidreza Modares
2025	—	`conf`	On the Numerical Solutions to a Certain Sturm-Liouville ODE for Spectral Filtering Applications. ECC Farnaz Adib Yaghmaie, Hamidreza Modares, Bahare Kiumarsi
2024	—	`conf`	On the Performance of Memory-Augmented Controllers. ECC Farnaz Adib Yaghmaie, Hamidreza Modares, Bahare Kiumarsi
2024	J	`jnl`	Online Reference Tracking For Linear Systems with Unknown Dynamics and Unknown Disturbances. Trans. Mach. Learn. Res. Nariman Niknejad, Farnaz Adib Yaghmaie, Hamidreza Modares
2024	J	`jnl`	Reinforcement Learning for Partially Observable Linear Gaussian Systems Using Batch Dynamics of Noisy Observations. IEEE Trans. Autom. Control. Farnaz Adib Yaghmaie, Hamidreza Modares, Fredrik Gustafsson
2024	J	`jnl`	Safe Reinforcement Learning via a Model-Free Safety Certifier. IEEE Trans. Neural Networks Learn. Syst. Amir Modares, Nasser Sadati, Babak Esmaeili, Farnaz Adib Yaghmaie, Hamidreza Modares
2023	J	`jnl`	Linear Quadratic Control Using Model-Free Reinforcement Learning. IEEE Trans. Autom. Control. Farnaz Adib Yaghmaie, Fredrik Gustafsson, Lennart Ljung
2023	J	`jnl`	Online Optimal Tracking of Linear Systems with Adversarial Disturbances. Trans. Mach. Learn. Res. Farnaz Adib Yaghmaie, Hamidreza Modares
2021	J	`jnl`	A Crash Course on Reinforcement Learning. CoRR Farnaz Adib Yaghmaie, Lennart Ljung
2019	—	`conf`	A New Result on Robust Adaptive Dynamic Programming for Uncertain Partially Linear Systems. CDC Farnaz Adib Yaghmaie, Svante Gunnarsson
2019	J	`jnl`	Output regulation of unknown linear systems using average cost reinforcement learning. Autom. Farnaz Adib Yaghmaie, Svante Gunnarsson, Frank L. Lewis
2019	J	`jnl`	Reinforcement learning for a class of continuous-time input constrained optimal control problems. Autom. Farnaz Adib Yaghmaie, David J. Braun
2019	—	`conf`	Using Reinforcement Learning for Model-free Linear Quadratic Control with Process and Measurement Noises. CDC Farnaz Adib Yaghmaie, Fredrik Gustafsson
2017	J	`jnl`	Bipartite and cooperative output synchronizations of linear heterogeneous agents: A unified framework. Autom. Farnaz Adib Yaghmaie, Rong Su, Frank L. Lewis, Sorin Olaru
2017	J	`jnl`	Multiparty Consensus of Linear Heterogeneous Multiagent Systems. IEEE Trans. Autom. Control. Farnaz Adib Yaghmaie, Rong Su, Frank L. Lewis, Lihua Xie
2016	C	`conf`	Bipartite output synchronization of linear heterogeneous multi-agent systems via output feedback. ACC Farnaz Adib Yaghmaie, Rong Su, Frank L. Lewis
2016	—	`conf`	Output H∞ synchronization of heterogeneous linear multi-agent systems via a distributed output-feedback. CDC Farnaz Adib Yaghmaie, Kristian Hengster-Movric, Frank L. Lewis, Rong Su, Michael Sebek
2016	J	`jnl`	Output regulation of linear heterogeneous multi-agent systems via output and state feedback. Autom. Farnaz Adib Yaghmaie, Frank L. Lewis, Rong Su
2015	—	`conf`	Leader-follower output consensus of linear heterogeneous multi-agent systems via output feedback. CDC Farnaz Adib Yaghmaie, Frank L. Lewis, Rong Su
2015	C	`conf`	Output regulation of heterogeneous multi-agent systems: A graphical game approach. ACC Farnaz Adib Yaghmaie, Frank L. Lewis, Rong Su