Numerical Optimization Of Computer Models

By S. Blau. 2016

274 citations recorded by the source corpus.

Subfields: Optimization & Training, Numerical Methods & Scientific Computing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Optimization & Training

1. David R Ha
2. Kwok-Wing Chau
3. J. Urgen Schmidhuber
4. Patrick Siarry
5. Shahaboddin Shamshirband
6. Sepp Hochreiter
7. Yoshua Bengio
8. Douglas Aberdeen

In Numerical Methods & Scientific Computing

1. Kwok-Wing Chau
2. J. Urgen Schmidhuber
3. Patrick Siarry
4. David R Ha

Citations in the corpus

• Recurrent World Models Facilitate Policy Evolution (2018, methodology): “This choice allows us to explore more unconventional ways to train C – for example, even using evolution strategies (ES) [70, 87] to tackle more challenging RL tasks where the credit assignment problem is difficult.”
• World Models (2018, methodology): “This choice allows us to explore more unconventional ways to train C – for example, even using evolution strategies (ES) (Rechenberg, 1973; Schwefel, 1977) to tackle more challenging RL tasks where the credit assignment problem is difficult.”
• Metaheuristics (2016, background): “Schwefel [52] proposed self-adaptive Gaussian mutation to efficiently solve illconditioned problems when the objective function is separable or “almost” separable in a neighborhood of the optimum.”
• Survey of computational intelligence as basis to big flood management: challenges, research directions and future work (2018, background): “These classes are evolutionary programming (EP) (Fogel, Owens, & Walsh, 1966), genetic algorithms (GAs) (Holland, 1992), evolution strategies (Schwefel, 1981), and genetic programming (Koza, 1992).”