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multi-armed-bandits

Here are 65 public repositories matching this topic...

tensorflow / agents

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

reinforcement-learning tensorflow dqn multi-armed-bandits bandits contextual-bandits rl-algorithms tf-agents

Updated Jan 16, 2026
Python

st-tech / zr-obp

Open Bandit Pipeline: a python library for bandit algorithms and off-policy evaluation

research datasets multi-armed-bandits contextual-bandits off-policy-evaluation

Updated Jun 3, 2024
Python

fidelity / mabwiser

[IJAIT 2021] MABWiser: Contextual Multi-Armed Bandits Library

machine-learning recsys multi-armed-bandits contextual-bandits parametric-bandits non-parametric-bandits

Updated Sep 5, 2024
Python

rlberry-py / rlberry

An easy-to-use reinforcement learning library for research and education.

reinforcement-learning reinforcement-learning-algorithms multi-armed-bandits reinforcement-learning-environments

Updated Mar 16, 2026
Python

bayesianbandits / bayesianbandits

A Pythonic microframework for multi-armed bandit problems

reinforcement-learning multi-armed-bandits bayesian-statistics

Updated Apr 5, 2026
Python

pybandits

PlaytikaOSS / pybandits

Python library for Multi-Armed Bandits

reinforcement-learning thompson-sampling multi-armed-bandits multi-armed-bandit bayesian-neural-networks contextual-bandits multiarmed-bandits stochastic-bandit-algorithms stochastic-bandit contextual-bandit-algorithms offline-policy-evaluation

Updated Apr 7, 2026
Python

cfoh / Multi-Armed-Bandit-Example

Learning Multi-Armed Bandits by Examples. Currently covering MAB, UCB, Boltzmann Exploration, Thompson Sampling, Contextual MAB, LinUCB, Deep MAB.

machine-learning reinforcement-learning recommendation-system multi-armed-bandits

Updated Nov 25, 2025
Python

wbwang2020 / MP-MAB

This project is created for the simulations of the paper: [Wang2021] Wenbo Wang, Amir Leshem, Dusit Niyato and Zhu Han, "Decentralized Learning for Channel Allocation inIoT Networks over Unlicensed Bandwidth as aContextual Multi-player Multi-armed Bandit Game", to appear in IEEE Transactions on Wireless Communications, 2021.

machine-learning-algorithms multi-armed-bandits multi-agent-reinforcement-learning

Updated Oct 12, 2021
Python

kulinshah98 / Multi-Armed-Bandit-Algorithms

Python implementation of UCB, EXP3 and Epsilon greedy algorithms

epsilon-greedy multi-armed-bandits upper-confidence-bounds bandit-algorithms stochastic-bandit-algorithms adversarial-bandit-algorithms exp3-algorithm

Updated Oct 4, 2018
Python

nphdang / Bandit-BO

Bayesian Optimization for Categorical and Continuous Inputs

machine-learning optimization thompson-sampling hyperparameter-optimization hyperopt gaussian-processes bayesian-optimization multi-armed-bandits hyperparameter-tuning automl automated-machine-learning smac categorical-variables continuous-variable acquisition-functions gpyopt batch-bayesian-optimization

Updated Jul 20, 2020
Python

Kenza-AI / mab-ranking

Online Ranking with Multi-Armed-Bandits

learning-to-rank multi-armed-bandits online-learning online-learning-algorithms mab-ranking online-learning-to-rank

Updated Sep 4, 2021
Python

IoT-MAB

tuyenta / IoT-MAB

Decentralized Intelligent Resource Allocation for LoRaWAN Networks

lorawan multi-armed-bandits resource-allocation

Updated May 9, 2019
Python

akshaykhadse / reinforcement-learning

Implementations of basic concepts dealt under the Reinforcement Learning umbrella. This project is collection of assignments in CS747: Foundations of Intelligent and Learning Agents (Autumn 2017) at IIT Bombay

reinforcement-learning linear-programming thompson-sampling epsilon-greedy ucb policy-evaluation mdps multi-armed-bandits policy-iteration randomised-algorithms reinforcement-learning-excercises kl-divergence markovian-epidemic-processes reinforcement-learning-analysis multiarm-bandit ucb1 howards-pi batch-switching randomized-policy-iteration

Updated May 21, 2018
Python

adik993 / reinforcement-learning-sutton

reinforcement-learning q-learning sarsa gridworld multi-armed-bandits random-walk racecar bandit-algorithm sutton-book td-lambda dyna-q cliffwalking

Updated Mar 4, 2020
Python

machinelearningnuremberg / DyHPO

[NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations

deep-learning neural-networks hyperparameter-optimization convolutional-neural-networks gaussian-processes multi-armed-bandits hpo state-of-the-art deep-kernel-learning multi-fidelity neurips-2022 grey-box deep-kernel-gps

Updated Apr 25, 2023
Python

ardaegeunlu / X-armed-Bandits

Implementation of the X-armed Bandits algorithm, as detailed in the paper, "X-armed Bandits", Bubeck et al., 2011.

reinforcement-learning machine-learning-algorithms reinforcement-learning-algorithms multi-armed-bandits multi-armed-bandit

Updated Jul 12, 2018
Python

beer-recommender-mab

paulozip / beer-recommender-mab

A beer recommendation system using multi-armed bandit approach to solve cold start problems

python recommendation-system multi-armed-bandits multiarmed-bandits

Updated Oct 30, 2020
Python

calvera

neural-bandits / calvera

Python Library for Neural Multi Armed Bandits

multi-armed-bandits pytorch-lightning

Updated Mar 16, 2025
Python

mabby

thetawom / mabby

A multi-armed bandit (MAB) simulation library in Python

python reinforcement-learning simulation probability artificial-intelligence thompson-sampling epsilon-greedy multi-armed-bandits agent-based-simulation

Updated Jul 15, 2024
Python

nphdang / turbo_bbo_neurips_2020

An improved version of Turbo algorithm for the Black-box optimization competition organized by NeurIPS 2020

machine-learning turbo thompson-sampling hyperparameter-optimization classification decay gaussian-processes bayesian-optimization multi-armed-bandits hyperparameter-tuning automated-machine-learning acquisition-functions batch-bayesian-optimization

Updated Jan 14, 2021
Python

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