24 citations · 81 across the 12 of their papers we have counts for
8 papers · 1 filter
Distributionally Robust Differential Dynamic Programming with Wasserstein Distance
Astghik Hakobyan, Insoon Yang
Differential dynamic programming (DDP) is a popular technique for solving nonlinear optimal control problems with locally quadratic approximations. However, existing DDP methods ar…
Wasserstein Distributionally Robust Control of Partially Observable Linear Stochastic Systems
Astghik Hakobyan, Insoon Yang
Distributionally robust control (DRC) aims to effectively manage distributional ambiguity in stochastic systems. While most existing works address inaccurate distributional informa…
Anderson Acceleration for Partially Observable Markov Decision Processes: A Maximum Entropy Approach
Mingyu Park, Jaeuk Shin, Insoon Yang
Partially observable Markov decision processes (POMDPs) is a rich mathematical framework that embraces a large class of complex sequential decision-making problems under uncertaint…
On Anderson acceleration for partially observable Markov decision processes
Melike Ermis, Mingyu Park, Insoon Yang
This paper proposes an accelerated method for approximately solving partially observable Markov decision process (POMDP) problems offline. Our method carefully combines two existin…
Distributional robustness in minimax linear quadratic control with Wasserstein distance
Kihyun Kim, Insoon Yang
To address the issue of inaccurate distributions in practical stochastic systems, a minimax linear-quadratic control method is proposed using the Wasserstein metric. Our method aim…
Multi-Objective Predictive Taxi Dispatch via Network Flow Optimization
Beomjun Kim, Jeongho Kim, Subin Huh +2
In this paper, we discuss a large-scale fleet management problem in a multi-objective setting. We aim to seek a receding horizon taxi dispatch solution that serves as many ride req…