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.

implement basic and contextual MAB algorithms for recommendation system

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

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

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".

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

Privacy-Preserving Bandits (MLSys'20)

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.