Alternatives and similar repositories for DuelingBandits

Users that are interested in DuelingBandits are comparing it to the libraries listed below

• rayshi14 / LinearUCB-python
  Linear UCB bandit learning algorithm L Li(2010) python code
  ☆19Updated 11 years ago
• usaito / dr-ranking-metric
  (RecSys2020) "Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions"
  ☆24Updated 2 years ago
• adith387 / slates_semisynth_expts
  Semi-synthetic experiments to test several approaches for off-policy evaluation and optimization of slate recommenders.
  ☆43Updated 8 years ago
• rjagerman / wsdm2019-nonstationary
  Non-stationary Off-policy Evaluation
  ☆13Updated 7 years ago
• criteo-research / optimization-continuous-action-crm
  ☆30Updated 5 years ago
• ntucllab / striatum
  Contextual bandit in python
  ☆112Updated 4 years ago
• illidanlab / rpg
  Ranking Policy Gradient
  ☆23Updated 6 years ago
• jkomiyama / banditlib
  Multi-armed bandit simulation library
  ☆140Updated 2 years ago
• AkihikoWatanabe / DBGD
  A python implementation of Dueling Bandit Gradient Descent (DBGD)
  ☆24Updated 6 years ago
• collinprather / SlateQ
  A comparison of Google SlateQ algorithm with traditional Reinforcement Learning algorithms
  ☆38Updated 3 years ago
• YRussac / WeightedLinearBandits
  Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"
  ☆17Updated 6 years ago
• olivierjeunen / dual-bandit-kdd-2020
  Source code for our paper "Joint Policy-Value Learning for Recommendation" published at KDD 2020.
  ☆23Updated 2 years ago
• counterfactual-ml / kdd2022-tutorial
  Counterfactual Evaluation and Learning for Interactive Systems: Foundations, Implementations, and Recent Advances
  ☆12Updated 3 years ago
• usaito / CFML-papers
  Summaries and notes on CounterFactual Machine Learning papers
  ☆19Updated 7 years ago
• ermongroup / best-arm-delayed
  Code for "Best arm identification in multi-armed bandits with delayed feedback", AISTATS 2018.
  ☆19Updated 7 years ago
• crowdAI / crowdai-criteo-ad-placement-challenge-starter-kit
  Starter kit for getting started in the NIPS 2017 Criteo Ad Placement Challenge
  ☆18Updated 8 years ago
• aiueola / wsdm2022-cascade-dr
  (WSDM2022 Best Paper Award Runner-Up) "Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model"
  ☆13Updated 2 years ago
• usaito / unbiased-pairwise-rec
  (ICTIR2020) "Unbiased Pairwise Learning from Biased Implicit Feedback"
  ☆19Updated 3 years ago
• qingyun-wu / NonstationaryBanditLib
  ☆15Updated 5 years ago
• vruvora / reinforcement-learning-kdd
  ☆42Updated 7 years ago
• dquail / NonStationaryBandit
  Non stationary bandit for experiments with Reinforcement Learning
  ☆33Updated 8 years ago
• henryslzhao / RL4Recsys
  paper list in the area of reinforcenment learning for recommendation systems
  ☆25Updated 5 years ago
• Seplanna / pairwiseLearning
  ☆16Updated 8 years ago
• jiaqima / Off-Policy-2-Stage
  Off-policy Learning in Two-stage Recommender Systems. https://dl.acm.org/doi/pdf/10.1145/3366423.3380130
  ☆30Updated 5 years ago
• SoluMilken / Contextual-Bandit
  Contextual Bandit Algorithms (+Bandit Algorithms)
  ☆22Updated 6 years ago
• Alanthink / banditpylib
  A lightweight python library for bandit algorithms
  ☆30Updated 3 years ago
• zalanborsos / online-variance-reduction
  Online Variance Reduction
  ☆14Updated 6 years ago
• allenday / contextual-bandit
  working example of a contextual multi-armed bandit
  ☆55Updated 6 years ago
• andrewk1 / pytorch-deep-bayesian-bandits
  PyTorch port and extension of the Deep Bayesian Bandits Library
  ☆43Updated 6 years ago
• timnugent / bandit-algorithms
  Epsilon-greedy, softmax and LinUCB contextual bandit implementations [recommender systems]
  ☆50Updated 6 years ago