Alternatives and similar repositories for Multi-armed-Bandits

Users that are interested in Multi-armed-Bandits are comparing it to the libraries listed below

• kfoofw / bandit_simulations
  Bandit algorithms simulations for online learning
  ☆85Updated 5 years ago
• banditml / banditml
  A lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.
  ☆67Updated 4 years ago
• sauxpa / neural_exploration
  Study NeuralUCB and regret analysis for contextual bandit with neural decision
  ☆95Updated 3 years ago
• alison-carrera / mabalgs
  Multi-Armed Bandit Algorithms Library (MAB)
  ☆133Updated 2 years ago
• antonismand / Personalized-News-Recommendation
  Multi Armed Bandits implementation using the Yahoo! Front Page Today Module User Click Log Dataset
  ☆101Updated 3 years ago
• uclaml / NeuralUCB
  ☆34Updated 4 years ago
• andrecianflone / thompson
  Thompson Sampling Tutorial
  ☆53Updated 6 years ago
• BartyzalRadek / contextual-bandits-recommender
  Implementing LinUCB and HybridLinUCB in Python.
  ☆50Updated 7 years ago
• daddydrac / Contextual-Multi-Armed-Bandits
  ☆36Updated 5 years ago
• Lunj12 / RL-Bandits-with-Knapsacks
  Dynamic Pricing BwK Problem and Reinforcement Learning
  ☆31Updated 6 years ago
• SahanaRamnath / MultiArmedBandit_RL
  Implementation of various multi-armed bandits algorithms on a 10-arm testbed.
  ☆38Updated 5 years ago
• HCDM / BanditLib
  Library of contextual bandits algorithms
  ☆334Updated last year
• Mathtodon / Contextual_Bandits_Tree
  Contains Code for Contextual Bandits Decision Tree
  ☆20Updated 5 years ago
• ntucllab / striatum
  Contextual bandit in python
  ☆114Updated 3 years ago
• YRussac / WeightedLinearBandits
  Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"
  ☆17Updated 5 years ago
• sadighian / recommendation-gym
  MovieLens recommendation system using reinforcement learning (GYM + PPO)
  ☆49Updated 4 years ago
• henryslzhao / RL4Recsys
  paper list in the area of reinforcenment learning for recommendation systems
  ☆24Updated 4 years ago
• zoulixin93 / pseudo_dyna_q
  ☆14Updated 5 years ago
• thanhnguyentang / offline_neural_bandits
  An official JAX-based code for our NeuraLCB paper, "Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization", ICLR…
  ☆14Updated 3 years ago
• appurwar / Contextual-Bandit-News-Article-Recommendation
  Predict and recommend the news articles, user is most likely to click in real time.
  ☆32Updated 7 years ago
• gdmarmerola / interactive-intro-rl
  Big Data's open seminars: An Interactive Introduction to Reinforcement Learning
  ☆63Updated 4 years ago
• jldbc / bandits
  Multi-Armed Bandit algorithms applied to the MovieLens 20M dataset
  ☆56Updated 4 years ago
• venkatacrc / Budget_Constrained_Bidding
  Budget Constrained Bidding for Display Advertising using Model-free Reinforcement Learning
  ☆43Updated 5 years ago
• XueyingBai / Model-Based-Reinforcement-Learning-for-Online-Recommendation
  A pytorch implementation of A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation.
  ☆40Updated 5 years ago
• JianGuanTHU / IRecGAN
  Implementation for our paper in NeurIPS 2019
  ☆48Updated 5 years ago
• KKeishiro / Yahoo_recommendation
  Yahoo! news article recommendation system by linUCB
  ☆114Updated 7 years ago
• shashist / recsys-rl
  Course project for https://deeppavlov.ai/rl_course_2020
  ☆40Updated 2 years ago
• lushleaf / varying-coefficient-net-with-functional-tr
  [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…
  ☆77Updated 2 years ago
• abietti / cb_bakeoff
  scripts for evaluation of contextual bandit algorithms
  ☆45Updated 5 years ago
• chenhaokun / TPGR
  python implementation of the TPGR
  ☆39Updated 6 years ago