Giter Club home page Giter Club logo

reinforcement-learning-malaria-control-kddcup-2019's Introduction

Reinforcement-Learning-Malaria-Control-KDDCup-2019

KDDCup 2019: Reinforcement Learning Challenge | LOLs team's solution ranked 7th

We were selected to represent Passau University during this RL Competition. A paper resuming our work was afterward published.

This Repo regroup different ML solutions for the KDDCup Challenge 2019 | Policy Learning for Malaria Control. These solutions were created by Lols team (ranked 7)

These solutions are based on Bayesian Optimisation techniques (Upper bound confidence) (todo add link to the original repo)

Fig.1 - Reward distribution for Year 1 (1600 points used)
Fig.2 - Reward estimation using Bayesian Optimisation (89 points used)

the 3 most important solutions are:

BO.1: BO with breaking sequence

This model uses 5 independents Bayesian Optimisation Objects. It focuses on maximizing the reward in a sequential way, starting from year 1.

BO.2: 10 dimensional BO

This model uses only one Bayesian Optimisation Object. It is able to understand complex patterns between years and is able to model relations between the current reward and previously taken actions.

BO.3: boosting network

This model combines the 2 previous algorithms thanks to the Ensemble learning techniques. It offers a more stable result: the worst case is always better than BO.1 and BO.2

Litereture

bibtex to our paper:

@article{nguyen2019policy,
  title={Policy learning for malaria control},
  author={Nguyen, Van Bach and Karim, Belaid Mohamed and Vu, Bao Long and Schl{\"o}tterer, J{\"o}rg and Granitzer, Michael},
  journal={arXiv preprint arXiv:1910.08926},
  year={2019}
}

reinforcement-learning-malaria-control-kddcup-2019's People

Contributors

dorraelmekki avatar karim-53 avatar

Stargazers

 avatar  avatar  avatar

Watchers

 avatar  avatar  avatar

reinforcement-learning-malaria-control-kddcup-2019's Issues

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.