Masoud Roudneshin

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 16

Top Topics

Heterogeneous Agents

Global Convergence

Reinforcement Learning

Top Venues

Publications

Masoud Roudneshin, Kamran Sayrafian, Amir G. Aghdam
Adaptive Maximization of the Harvested Power for Wearable or Implantable Sensors With Coulomb Force Parametric Generators. IEEE Internet Things J. 10 (19) (2023)
Masoud Roudneshin, Saba Sanami, Amir G. Aghdam
Risk-Constrained Control of Mean-Field Linear Quadratic Systems. CDC (2023)
Masoud Roudneshin, Saba Sanami, Amir G. Aghdam
Risk-Constrained Control of Mean-Field Linear Quadratic Systems. CoRR (2023)
Masoud Roudneshin, Kamran Ghaffari, Amir G. Aghdam
On Forward Kinematics of a 3SPR Parallel Manipulator. IEEE Control. Syst. Lett. 7 (2023)
Masoud Roudneshin, Kamran Sayrafian, Amir G. Aghdam
An Asymmetric Adaptive Approach to Enhance Output Power in Kinetic-Based Microgenerators. IEEE SENSORS (2022)
Masoud Roudneshin, Kamran Ghaffari, Amir G. Aghdam
On Forward Kinematics of a 3SPR Parallel Manipulator. CoRR (2022)
Masoud Roudneshin, Kamran Sayrafian, Amir G. Aghdam
Maximizing Harvested Energy in Coulomb Force Parametric Generators. ACC (2022)
Vida Fathi, Masoud Roudneshin, Amir G. Aghdam
A Near-Optimal Solution to a Class of Deep Structured Teams with Nonlinear Dynamics. MED (2021)
Masoud Roudneshin, Jalal Arabneydi, Amir G. Aghdam
Reinforcement Learning in Nonzero-sum Linear Quadratic Deep Structured Games: Global Convergence of Policy Optimization. CDC (2020)
Reza Babazadeh, Masoud Roudneshin, Rastko R. Selmic, Amir G. Aghdam
Robust Suboptimal Output Synchronization of Nonlinear Heterogeneous Agents. ACC (2020)
Masoud Roudneshin, Kamran Sayrafian, Amir G. Aghdam
Adaptive Estimation of Near-Optimal Electrostatic Force in Micro Energy-Harvesters. CCTA (2020)
Jalal Arabneydi, Masoud Roudneshin, Amir G. Aghdam
Reinforcement Learning in Deep Structured Teams: Initial Results with Finite and Infinite Valued Features. CoRR (2020)
Jalal Arabneydi, Masoud Roudneshin, Amir G. Aghdam
Reinforcement Learning in Deep Structured Teams: Initial Results with Finite and Infinite Valued Features. CCTA (2020)
Masoud Roudneshin, Jalal Arabneydi, Amir G. Aghdam
Reinforcement Learning in Nonzero-sum Linear Quadratic Deep Structured Games: Global Convergence of Policy Optimization. CoRR (2020)
Masoud Roudneshin, Amir Mohammad Moradi Sizkouhi, Amir G. Aghdam
Effective Learning Algorithms for Search and Rescue Missions in Unknown Environments. WiSEE (2019)
Masoud Roudneshin, Kamran Sayrafian, Amir G. Aghdam
A Machine Learning Approach to the Estimation of Near-Optimal Electrostatic Force in Micro Energy-Harvesters. WiSEE (2019)