contextual-bandits

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

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

Python implementations of contextual bandits algorithms

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

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

Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)

👤 Multi-Armed Bandit Algorithms Library (MAB) 👮

Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies

🐈‍⬛ Contextual bandits library for continuous action trees with smoothing in JAX

A lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.

Blocks World -- Simulator, Code, and Models (Misra et al. EMNLP 2017)

Code accompanying the paper "Learning Permutations with Sinkhorn Policy Gradient"

implement basic and contextual MAB algorithms for recommendation system

Contextual bandit algorithm called LinUCB / Linear Upper Confidence Bounds as proposed by Li, Langford and Schapire

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

Privacy-Preserving Bandits (MLSys'20)

Study of the paper 'Neural Thompson Sampling' published in October 2020

Contextual Multi-Armed Bandit Platform for Scoring, Ranking & Decisions

lightweight contextual bandit library for ts/js

Implementation of provably Rawlsian fair ML algorithms for contextual bandits.