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George I. Boutselis

2 accepted papers

2020

Constrained Sampling-based Trajectory Optimization using Stochastic Approximation

ICRA 2020poster

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 as nonlinear state constraints for discrete dynamical systems. Regarding the former, our strategy is to optimize over tr…

Cited by 13SourceScholar
2019

Variational Optimization Based Reinforcement Learning for Infinite Dimensional Stochastic Systems

CoRL 2019

Systems involving Partial Differential Equations (PDEs) have recently become more popular among the machine learning community. However prior methods usually treat infinite dimensional problems in finite dimensions with Reduced Order Models. This leads to committing to specific approximation schemes

Cited by 0SourcePDFScholar