Farnaz Adib Yaghmaie

22 papers C 2Journal 13Unranked 7
YearRankTypeTitle / 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