🔬 Research Framework for Single and Multi-Players 🎰 Multi-Arms Bandits (MAB) Algorithms, implementing all the state-of-the-art algorithms for single-player (UCB, KL-UCB, Thompson...) and multi-player (MusicalChair, MEGA, rhoRand, MCTop/RandTopM etc).. Available on PyPI: https://pypi.org/project/SMPyBandits/ and documentation on

A hyperparameter optimization framework, inspired by Optuna.

PyXAB - A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms

Yahoo! news article recommendation system by linUCB

Big Data's open seminars: An Interactive Introduction to Reinforcement Learning

My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow

A lightweight python library for bandit algorithms

Bandit algorithms

Python implementation of UCB, EXP3 and Epsilon greedy algorithms

Code for our ACML and INTERSPEECH papers: "Speaker Diarization as a Fully Online Bandit Learning Problem in MiniVox".

More about the exploration-exploitation tradeoff with harder bandits

Privacy-Preserving Bandits (MLSys'20)

A curated list on papers about combinatorial multi-armed bandit problems.

This is a collection of interesting papers that I have read so far or want to read. Note that the list is not up-to-date. Topics: reinforcement learning, deep learning, mathematics, statistics, bandit algorithms, optimization.

Building recommender Systems using contextual bandit methods to address cold-start issue and online real-time learning

Personalized and Interactive Music Recommendation with Bandit approach

Personal reimplementation of some ML algorithms for learning purposes

A benchmark to test decision-making algorithms for contextual-bandits. The library implements a variety of algorithms (many of them based on approximate Bayesian Neural Networks and Thompson sampling), and a number of real and syntethic data problems exhibiting a diverse set of properties.

🐍 🔬 Fast Python implementation of various Kullback-Leibler divergences for 1D and 2D parametric distributions. Also provides optimized code for kl-UCB indexes

This repository aims at learning most popular MAB and CMAB algorithms and watch how they run. It is interesting for those wishing to start learning these topics.