Search Results for author: J. Quetzalcóatl Toledo-Marín

Found 2 papers, 1 papers with code

Deep learning approaches to surrogates for solving the diffusion equation for mechanistic real-world simulations

1 code implementation10 Feb 2021 J. Quetzalcóatl Toledo-Marín, Geoffrey Fox, James P. Sluka, James A. Glazier

To improve convergence during training, we apply a training approach that uses roll-back to reject stochastic changes to the network that increase the loss function.

Is a good offensive always the best defense?

no code implementations23 Aug 2016 J. Quetzalcóatl Toledo-Marín, Rogelio Díaz-Méndez, Marcelo del Castillo Mussot

We find that only for the player having the higher offensive expertise (the dominant player ), maximizing the offensive always increases the probability to win.

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