Skip to content

Working on some machine learning for optimizing in static and dynamic simulations

Notifications You must be signed in to change notification settings

dfossl/SimpyOptimization

Repository files navigation

SimpyOptimization

Working on some machine learning for optimizing in static and dynamic simulations

What has been done:

  • implimented a dynamic k-beam search of states
  • As a proof of concept used simple teather simlation and optimized worker types on budget and wait time using k-beam
  • Implimented the start of an emergency room simulation for optimization work.

TODOs

  • improve emergency room simulation to be more dynamic with paient types and resource allocation.
  • impliment genetic algorithm for optimizations.
  • Make emeregency room simulation more dynamic and look to impliment reinforcement learning for scheduling agent (Deep-Q likely).
  • Make standardized yaml format files for input into simulation.

About

Working on some machine learning for optimizing in static and dynamic simulations

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages