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Contents:

  • SMPyBandits
  • SMPyBandits modules
  • How to run the code ?
  • List of research publications using Lilian Bessonโ€™s SMPyBandits project
  • Policy aggregation algorithms
  • Multi-players simulation environment
  • Doubling Trick for Multi-Armed Bandits
  • Structure and Sparsity of Stochastic Multi-Armed Bandits
  • Non-Stationary Stochastic Multi-Armed Bandits
  • Short documentation of the API
  • About parallel computations
  • ๐Ÿ’ฅ TODO
  • Some illustrations for this project
  • Jupyter Notebooks ๐Ÿ““ by Naereen @ GitHub
  • List of notebooks for SMPyBandits
    • 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
    • Table of Contents
    • Exploring different doubling tricks for different kinds of regret bounds
    • Table of Contents
    • Requirements and helper functions
    • Python implementations of some statistical tests
    • Comparing the different implementations
    • More simulations and some plots
    • Exploring the parameters of change point detection algorithms: how to tune them?
    • Conclusions
    • Table of Contents
    • Demonstrations of Single-Player Simulations for Non-Stationary-Bandits
  • A note on execution times, speed and profiling
  • UML diagrams
  • logs files
SMPyBandits
  • Docs »
  • List of notebooks for SMPyBandits
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List of notebooks for SMPyBanditsยถ

  • 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
  • Table of Contents
  • Exploring different doubling tricks for different kinds of regret bounds
  • Table of Contents
  • Requirements and helper functions
  • Python implementations of some statistical tests
  • Comparing the different implementations
  • More simulations and some plots
  • Exploring the parameters of change point detection algorithms: how to tune them?
  • Conclusions
  • Table of Contents
  • Demonstrations of Single-Player Simulations for Non-Stationary-Bandits

โ€”

Note

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

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© Copyright 2016-2018, Lilian Besson (Naereen) Last updated on 25 Feb 2020, 14h.

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