Output regulation of heterogeneous multi-agent systems: A graphical game approach. - Farnaz Adib Yaghmaie; Frank L. Lewis; Rong Su 001 (ACC, 2015)

Leader-follower output consensus of linear heterogeneous multi-agent systems via output feedback. - Farnaz Adib Yaghmaie; Frank L. Lewis; Rong Su 001 (CDC, 2015)

Bipartite output synchronization of linear heterogeneous multi-agent systems via output feedback. - Farnaz Adib Yaghmaie; Rong Su 001; Frank L. Lewis (ACC, 2016)

Output H∞ synchronization of heterogeneous linear multi-agent systems via a distributed output-feedback. - Farnaz Adib Yaghmaie; Kristian Hengster-Movric; Frank L. Lewis; Rong Su 001; Michael Sebek (CDC, 2016)

Output regulation of linear heterogeneous multi-agent systems via output and state feedback. - Farnaz Adib Yaghmaie; Frank L. Lewis; Rong Su 001 (Autom., 2016)

Bipartite and cooperative output synchronizations of linear heterogeneous agents: A unified framework. - Farnaz Adib Yaghmaie; Rong Su 001; Frank L. Lewis; Sorin Olaru (Autom., 2017)

Multiparty Consensus of Linear Heterogeneous Multiagent Systems. - Farnaz Adib Yaghmaie; Rong Su 001; Frank L. Lewis; Lihua Xie 001 (IEEE Trans. Autom. Control., 2017)

Using Reinforcement Learning for Model-free Linear Quadratic Control with Process and Measurement Noises. - Farnaz Adib Yaghmaie; Fredrik Gustafsson (CDC, 2019)

A New Result on Robust Adaptive Dynamic Programming for Uncertain Partially Linear Systems. - Farnaz Adib Yaghmaie; Svante Gunnarsson (CDC, 2019)

Reinforcement learning for a class of continuous-time input constrained optimal control problems. - Farnaz Adib Yaghmaie; David J. Braun (Autom., 2019)

Output regulation of unknown linear systems using average cost reinforcement learning. - Farnaz Adib Yaghmaie; Svante Gunnarsson; Frank L. Lewis (Autom., 2019)

A Crash Course on Reinforcement Learning. - Farnaz Adib Yaghmaie; Lennart Ljung (CoRR, 2021)

Online Optimal Tracking of Linear Systems with Adversarial Disturbances. - Farnaz Adib Yaghmaie; Hamidreza Modares (Trans. Mach. Learn. Res., 2023)

Linear Quadratic Control Using Model-Free Reinforcement Learning. - Farnaz Adib Yaghmaie; Fredrik Gustafsson; Lennart Ljung (IEEE Trans. Autom. Control., 2023)

On the Performance of Memory-Augmented Controllers. - Farnaz Adib Yaghmaie; Hamidreza Modares; Bahare Kiumarsi (ECC, 2024)

Online Reference Tracking For Linear Systems with Unknown Dynamics and Unknown Disturbances. - Nariman Niknejad; Farnaz Adib Yaghmaie; Hamidreza Modares (Trans. Mach. Learn. Res., 2024)

Safe Reinforcement Learning via a Model-Free Safety Certifier. - Amir Modares; Nasser Sadati; Babak Esmaeili 004; Farnaz Adib Yaghmaie; Hamidreza Modares (IEEE Trans. Neural Networks Learn. Syst., 2024)

Reinforcement Learning for Partially Observable Linear Gaussian Systems Using Batch Dynamics of Noisy Observations. - Farnaz Adib Yaghmaie; Hamidreza Modares; Fredrik Gustafsson (IEEE Trans. Autom. Control., 2024)

Natural Gradient Descent for Control. - Ramin Esmzad; Farnaz Adib Yaghmaie; Hamidreza Modares (CoRR, 2025)