This web app initializes a finite state machine (for our purposes this is a satelite) which has 8 possible actions with 8 different results. Each of the results can vary due to 'signal noise' which will effect the learning automatas desision making.
Given the finite state machine we have implemented 4 possible learning automata Tsetlin, Krinsky, Krylov, and LRI. Also nearly all relevant options have been exposed to the user to configure like trials, iterations, ensamble, signal weights, noise ect.
This app will serve as a learning tool to visualize the difference between the several learning automata and how the various properties of which can have an impact on the learning.
There is a demo of this application available here if you wish to run this locally the below directions will outline how to do so.
git clone <repository-url>this repositorycd reinforcement-learning-ainpm install
ember serve- Visit your app at http://localhost:4200.
- Visit your tests at http://localhost:4200/tests.
ember build(development)ember build --environment production(production)
If you wish to deploy to gh pages you can do npm run deploy
- ember.js
- [learning automata] (https://en.wikipedia.org/wiki/Learning_automata)