11 citations · 13 across the 4 of their papers we have counts for
5 papers
Inverse Linear Quadratic Gaussian Games: Constrained Setting and Transferability
Kai Ren, Maryam Kamgarpour
This work addresses finite-horizon inverse linear quadratic Gaussian games. In a constrained setting, we characterize the set of cost parameters and optimal dual values that genera…
Probabilistic Recursively Feasible Motion Planning Under Uncertain Environments
Hyeontae Sung, Hyeongchan Ham, Junyoung Park +2
Safe motion planning in uncertain, time-varying environments is challenging because the safe region can change unpredictably across planning steps, often causing a loss of recursiv…
Identifying Time-varying Costs in Finite-horizon Linear Quadratic Gaussian Games
Kai Ren, Maryam Kamgarpour
We address cost identification in a finite-horizon linear quadratic Gaussian game. We characterize the set of cost parameters that generate a given Nash equilibrium policy. We prop…
Chance-constrained Linear Quadratic Gaussian Games for Multi-robot Interaction under Uncertainty
Kai Ren, Giulio Salizzoni, Mustafa Emre Gürsoy +1
We address safe multi-robot interaction under uncertainty. In particular, we formulate a chance-constrained linear quadratic Gaussian game with coupling constraints and system unce…
Recursively Feasible Chance-constrained Model Predictive Control under Gaussian Mixture Model Uncertainty
Kai Ren, Colin Chen, Hyeontae Sung +3
We present a chance-constrained model predictive control (MPC) framework under Gaussian mixture model (GMM) uncertainty. Specifically, we consider the uncertainty that arises from…