10 citations · 14 across the 3 of their papers we have counts for
3 papers · 2 filters
Constrained Sampling-based Trajectory Optimization using Stochastic Approximation
George I. Boutselis, Ziyi Wang, Evangelos A. Theodorou
We propose a sampling-based trajectory optimization methodology for constrained problems. We extend recent works on stochastic search to deal with box control constraints,as well a…
Variational Optimization Based Reinforcement Learning for Infinite Dimensional Stochastic Systems
Ethan N. Evans, Marcus A. Pereira, George I. Boutselis +1
Systems involving Partial Differential Equations (PDEs) have recently become more popular among the machine learning community. However prior methods usually treat infinite dimensi…
Leveraging Stochasticity for Open Loop and Model Predictive Control of Complex Fluid Systems
George I. Boutselis, Ethan N. Evans, Marcus A. Pereira +1
Stochastic Spatio-Temporal processes are prevalent across domains ranging from modeling of plasma to the turbulence in fluids to the wave function of quantum systems. This letter s…