Popular GitHub Repositories for Bernoulli Bandit

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

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

? 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

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

AuctionGym is a simulation environment that enables reproducible evaluation of bandit and reinforcement learning methods for online advertising auctions.

A simple, extensible library for developing AutoML systems

Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetlin Machine, with support for continuous features, multigranularity, clause indexing, and literal budget

:bust_in_silhouette: Multi-Armed Bandit Algorithms Library (MAB) :cop:

A Pythonic microframework for multi-armed bandit problems

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

The purpose of our research is to study reinforcement learning approaches to building a movie recommender system. We formulate the problem of interactive recommendation as a contextual multi-armed bandit.

Yahoo! news article recommendation system by linUCB

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

Simple implementation of the CGP-UCB algorithm.

Code for Paper (Policy Optimization in RLHF: The Impact of Out-of-preference Data)

A gymnasium-compatible framework to create reinforcement learning (RL) environment for solving the optimal power flow (OPF) problem. Contains five OPF benchmark environments for comparable research.

[NeurIPS 2023 Spotlight] In-Context Impersonation Reveals Large Language Models' Strengths and Biases

Simple diffusion implementation for binary-valued data using a Bernoulli distribution instead of a Gaussian.

A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.

Privacy-Preserving Bandits (MLSys'20)