Topic: multi-armed-bandit Goto Github
Some thing interesting about multi-armed-bandit
Some thing interesting about multi-armed-bandit
multi-armed-bandit,A bandit server that implements the multi-armed bandit for running a single experiment
User: alextanhongpin
multi-armed-bandit,:bust_in_silhouette: Multi-Armed Bandit Algorithms Library (MAB) :cop:
User: alison-carrera
multi-armed-bandit,Multi-Objective Multi-Armed Bandit
User: amirbalef
multi-armed-bandit,Code template for multi-armed bandit algorithm
User: antares0982
multi-armed-bandit,Offline evaluation of multi-armed bandit algorithms
User: antoine-hochart
multi-armed-bandit,Simple implementation of the CGP-UCB algorithm.
User: ardaegeunlu
multi-armed-bandit,Implementations of the bandit algorithms with unordered and ordered slates that are described in the paper "Non-Stochastic Bandit Slate Problems", by Kale et al. 2010.
User: ardaegeunlu
multi-armed-bandit,Implementation of the X-armed Bandits algorithm, as detailed in the paper, "X-armed Bandits", Bubeck et al., 2011.
User: ardaegeunlu
multi-armed-bandit,Python implementation of Multi armed bandits, with agent classes and arms for rapid experimentation. Mostly fun!
User: arjunbazinga
multi-armed-bandit,A simple implementation of the multi_arm_bandit problem which can be used in Open AI gym as well.
User: bardofcodes
multi-armed-bandit,CUNYBot, an AI that plays complete games of Starcraft.
User: bryansweber
multi-armed-bandit,🐯REPLICA of "Auction-based combinatorial multi-armed bandit mechanisms with strategic arms"
User: duruii
multi-armed-bandit,Multi-Armed Bandit method of accurately estimating the largest parameter out of a set of candidates.
User: flynnowen
multi-armed-bandit,More about the exploration-exploitation tradeoff with harder bandits
User: gdmarmerola
multi-armed-bandit,Source code for blog post on Thompson Sampling
User: gjjvdburg
Home Page: https://gertjanvandenburg.com/blog/thompson_sampling/
multi-armed-bandit,R package for Multi-Armed Bandit Simulation Study
Organization: google
multi-armed-bandit,The GitHub repository for "Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo", AISTATS 2024.
User: haoyangzheng1996
Home Page: https://proceedings.mlr.press/v238/zheng24b.html
multi-armed-bandit,Implementations of solutions to the multi-armed bandit problem
User: henrywoody
multi-armed-bandit,Multi-armed bandit algorithm with tensorflow and 11 policies
User: idanmoradarthas
multi-armed-bandit,Contextual Multi-Armed Bandit Platform for Scoring, Ranking & Decisions
Organization: improve-ai
Home Page: https://improve.ai
multi-armed-bandit,Easily Score & Rank Codable Objects with ML
Organization: improve-ai
Home Page: https://improve.ai
multi-armed-bandit,Contextual Multi-Armed Bandit Reward Tracker & Model Trainer
Organization: improve-ai
Home Page: https://improve.ai
multi-armed-bandit,Software for the experiments reported in the RecSys 2019 paper "Multi-Armed Recommender System Bandit Ensembles"
Organization: ir-uam
multi-armed-bandit,Author's implementation of the paper Correlated Age-of-Information Bandits.
User: ishank-juneja
Home Page: https://arxiv.org/abs/2011.05032
multi-armed-bandit,COLEMAN (Combinatorial VOlatiLE Multi-Armed BANdit) - and strategies for HCS context
User: jacksonpradolima
multi-armed-bandit,Python implementation for Reinforcement Learning algorithms -- Bandit algorithms, MDP, Dynamic Programming (value/policy iteration), Model-free Control (off-policy Monte Carlo, Q-learning)
User: jia-yi-chen
multi-armed-bandit,Multi-Player Bandits Revisited [L. Besson & É. Kaufmann]
User: juliennonin
multi-armed-bandit,Implementation of greedy, E-greedy and Upper Confidence Bound (UCB) algorithm on the Multi-Armed-Bandit problem.
User: kaleabtessera
multi-armed-bandit,Reinforcement Learning
User: levimcclenny
Home Page: http://people.tamu.edu/~levimcclenny/project/reinforcement-learning/
multi-armed-bandit,A simple, extensible library for developing AutoML systems
Organization: mlbazaar
Home Page: https://mlbazaar.github.io/BTB/
multi-armed-bandit,Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
User: mpatacchiola
Home Page: https://mpatacchiola.github.io/blog/
multi-armed-bandit,An implementation of solvers for the multi-armed-bandit-problem in JavaScript.
User: mykeels
multi-armed-bandit,A short conceptual replication of "Prefrontal cortex as a meta-reinforcement learning system" in Jax.
User: nathanwispinski
multi-armed-bandit,Solutions for course: "Applied Game Theory" taken at University of Novi Sad - Faculty of Technical Sciences
User: nikolazubic
multi-armed-bandit,Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies
Organization: nth-iteration-labs
Home Page: https://nth-iteration-labs.github.io/contextual/
multi-armed-bandit,Python application to setup and run streaming (contextual) bandit experiments.
Organization: nth-iteration-labs
multi-armed-bandit,Papers about recommendation systems that I am interested in
User: onyukang
multi-armed-bandit,En este proyecto de GitHhub podrás encontrar parte del material que utilizo para impartir las clases del módulo introductorio de Reinforcement Learning (Aprendizaje por Refuerzo)
User: ricardomoya
multi-armed-bandit,Data Intelligence Application: Pricing and Advertising learning strategies
User: riccardopoiani
multi-armed-bandit,Data Science Practice Projects
User: rohit-jain-2801
multi-armed-bandit,A multi-armed bandit library for Python
User: roycoding
multi-armed-bandit,A golang library for solving multi armed bandit problem which can optimize your business choice on the fly without A/B testing
User: rueian
multi-armed-bandit,Experiments for paper "Online Learning with Costly Features in Non-stationary Environments"
User: saeedghoorchian
multi-armed-bandit,🔬 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
Organization: smpybandits
Home Page: https://SMPyBandits.github.io/
multi-armed-bandit,Library for multi-armed bandit selection strategies, including efficient deterministic implementations of Thompson sampling and epsilon-greedy.
Organization: stitchfix
multi-armed-bandit,Simple A/B testing library for Clojure
Organization: taoensso
Home Page: https://www.taoensso.com/touchstone
multi-armed-bandit,Demo project using multi-armed bandit algorithm
Organization: unity-technologies
multi-armed-bandit,A curated list of resources about multi-armed bandit (MAB).
User: winderek
multi-armed-bandit,secondary development by torchsharp for Deep Learning and Reinforcement Learning
User: xin-pu
multi-armed-bandit,A curated list on papers about combinatorial multi-armed bandit problems.
User: ziyu-deep
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.