• Corpus ID: 195848406

Variational Optimization Based Reinforcement Learning for Infinite Dimensional Stochastic Systems

@inproceedings{Evans2019VariationalOB,
  title={Variational Optimization Based Reinforcement Learning for Infinite Dimensional Stochastic Systems},
  author={Ethan N. Evans and Marcus A. Pereira and George I. Boutselis and Evangelos A. Theodorou},
  booktitle={CoRL},
  year={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 and subsequent derivation of control laws. Additionally, prior work does not consider spatio-temporal descriptions of noise that realistically represent the stochastic nature of physical systems. In… 

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