Ethan N. Evans

Variational Optimization Based Reinforcement Learning for Infinite Dimensional Stochastic Systems

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