most citedGlobal Convergence of Policy Gradient for Sequential Zero-Sum Linear Quadratic Dynamic Games

26 citations · 31 across the 5 of their papers we have counts for

collaborators

5 papers

math.OC2020

Global Convergence of Policy Gradient Algorithms for Indefinite Least Squares Stationary Optimal Control

Jingjing Bu, Mehran Mesbahi

We consider policy gradient algorithms for the indefinite least squares stationary optimal control, e.g., linear-quadratic-regulator (LQR) with indefinite state and input penalizat…

eess.SY20204 cited

Consensus on Matrix-weighted Time-varying Networks

Lulu Pan, Haibin Shao, Mehran Mesbahi +2

This paper examines the consensus problem on time-varying matrix-weighed undirected networks. First, we introduce the matrix-weighted integral network for the analysis of such netw…

eess.SY2020

On the Controllability of Matrix-weighted Networks

Lulu Pan, Haibin Shao, Mehran Mesbahi +2

This letter examines the controllability of consensus dynamics on matrix-weighed networks from a graph-theoretic perspective. Unlike the scalar-weighted networks, the rank of weigh…

eess.SY201926 cited

Global Convergence of Policy Gradient for Sequential Zero-Sum Linear Quadratic Dynamic Games

Jingjing Bu, Lillian J. Ratliff, Mehran Mesbahi

We propose projection-free sequential algorithms for linear-quadratic dynamics games. These policy gradient based algorithms are akin to Stackelberg leadership model and can be ext…

math.OC20191 cited

Successive Convexification for 6-DoF Powered Descent Guidance with Compound State-Triggered Constraints

Michael Szmuk, Taylor P. Reynolds, Behcet Acikmese +2

This paper introduces a continuous formulation for compound state-triggered constraints, which are generalizations of the recently introduced state-triggered constraints. State-tri…