4 citations · 4 across the 4 of their papers we have counts for
4 papers
Risk-Constrained Control of Mean-Field Linear Quadratic Systems
Masoud Roudneshin, Saba Sanami, Amir G. Aghdam
The risk-neutral LQR controller is optimal for stochastic linear dynamical systems. However, the classical optimal controller performs inefficiently in the presence of low-probabil…
On Forward Kinematics of a 3SPR Parallel Manipulator
Masoud Roudneshin, Kamran Ghaffari, Amir G. Aghdam
In this paper, a new numerical method to solve the forward kinematics (FK) of a parallel manipulator with three-limb spherical-prismatic-revolute (3SPR) structure is presented. Unl…
Reinforcement Learning in Nonzero-sum Linear Quadratic Deep Structured Games: Global Convergence of Policy Optimization
Masoud Roudneshin, Jalal Arabneydi, Amir G. Aghdam
We study model-based and model-free policy optimization in a class of nonzero-sum stochastic dynamic games called linear quadratic (LQ) deep structured games. In such games, player…
Reinforcement Learning in Deep Structured Teams: Initial Results with Finite and Infinite Valued Features
Jalal Arabneydi, Masoud Roudneshin, Amir G. Aghdam
In this paper, we consider Markov chain and linear quadratic models for deep structured teams with discounted and time-average cost functions under two non-classical information st…