SMPyBandits
0.9

Contents:

  • SMPyBandits
  • SMPyBandits modules
  • How to run the code ?
  • List of research publications using Lilian Besson’s SMPyBandits project
  • Policy aggregation algorithms
  • Multi-players simulation environment
  • Doubling Trick for Multi-Armed Bandits
  • Short documentation of the API
  • 💥 TODO
  • Some illustrations for this project
  • Jupyter Notebooks 📓 by Naereen @ GitHub
  • List of notebooks for SMPyBandits documentation
    • Table of Contents
    • Easily creating MAB problems
    • Table of Contents
    • Do we even need a smart learning algorithm? Is UCB useless?
    • Table of Contents
    • An example of a small Single-Player simulation
    • Table of Contents
    • An example of a small Multi-Player simulation, with Centralized Algorithms
    • Table of Contents
    • An example of a small Multi-Player simulation, with rhoRand and Selfish, for different algorithms
    • Table of Contents
    • Trying to use Unsupervised Learning algorithms for a Gaussian bandit problem
    • Table of Contents
    • Trying to use Black-Box Bayesian optimization algorithms for a Gaussian bandit problem
    • Table of Contents
    • Lai & Robbins lower-bound for stochastic bandit with full restart points
  • A note on execution times, speed and profiling
  • UML diagrams
  • logs/
  • On Github Issues and Pull Requests
  • Contributor Covenant Code of Conduct
SMPyBandits
  • Docs »
  • List of notebooks for SMPyBandits documentation
  • View page source

List of notebooks for SMPyBandits documentation¶

  • Table of Contents
  • Easily creating MAB problems
  • Table of Contents
  • Do we even need a smart learning algorithm? Is UCB useless?
  • Table of Contents
  • An example of a small Single-Player simulation
  • Table of Contents
  • An example of a small Multi-Player simulation, with Centralized Algorithms
  • Table of Contents
  • An example of a small Multi-Player simulation, with rhoRand and Selfish, for different algorithms
  • Table of Contents
  • Trying to use Unsupervised Learning algorithms for a Gaussian bandit problem
  • Table of Contents
  • Trying to use Black-Box Bayesian optimization algorithms for a Gaussian bandit problem
  • Table of Contents
  • Lai & Robbins lower-bound for stochastic bandit with full restart points

—

Note

I wrote many other Jupyter notebooks covering various topics, see on my GitHub notebooks/ project.

Next Previous

© Copyright 2016-2018, Lilian Besson (Naereen). Last updated on 01 Mar 2018, 17h.

Built with Sphinx using a theme provided by Read the Docs.