contextual-bandits topic

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

thunfischtoast

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

pemami4911

Implementation of provably Rawlsian fair ML algorithms for contextual bandits.

jtcho

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

lil-lab

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

doerlbh

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

banditml

implement basic and contextual MAB algorithms for recommendation system

Heewon-Hailey

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

improve-ai

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

RonyAbecidan