A method for providing real-time machine learning to agents used in video games is disclosed. Initially, adjusted fitnesses of a set of agents within a population are determined. An agent having a relatively low adjusted fitness is then removed from the population. Subsequently, a parent agent is probabilistically selected from the population to generate an offspring agent. Finally, the removed agent is replaced by the offspring agent, maintaining a continuous real-time replacement cycle.

 
Web www.patentalert.com

< Kernels and kernel methods for spectral data

> Efficiency of training for ranking systems based on pairwise training with aggregated gradients

> Method and apparatus for presenting feature importance in predictive modeling

~ 00532