Alternatives and similar repositories for SlateQ

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

• Jinjiarui / rl4rs-papers
  A collection of research and survey papers of reforcement learning (RL) based recommender system techniques.
  ☆72Updated 5 years ago
• ustcljb / topK-off-policy-correction-REINFORCE
  ☆19Updated 5 years ago
• BetsyHJ / RL4Rec
  A toolkit of Reinforcement Learning based Recommendation (RL4Rec)
  ☆28Updated 3 years ago
• henryslzhao / RL4Recsys
  paper list in the area of reinforcenment learning for recommendation systems
  ☆25Updated 5 years ago
• rec-agent / rec-rl
  ☆54Updated 6 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
• zoulixin93 / FMCTS
  ☆11Updated 6 years ago
• BartyzalRadek / contextual-bandits-recommender
  Implementing LinUCB and HybridLinUCB in Python.
  ☆49Updated 7 years ago
• xinshi-chen / GenerativeAdversarialUserModel
  Tensorflow implementation for "Generative Adversarial User Model forReinforcement Learning Based Recommendation System"
  ☆131Updated 6 years ago
• BetsyHJ / SOFA
  A TensorFlow implementation of SOFA, the Simulator for OFfline LeArning and evaluation.
  ☆21Updated 5 years ago
• zoulixin93 / NICF
  ☆20Updated 5 years ago
• mcd4874 / Recommendation_system_using_RL_RecSim
  Explore the potential of recommendation system using reinforcement learning
  ☆15Updated 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 6 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
• dgliu / SIGIR20_KDCRec
  Experiments codes for SIGIR '20 paper "A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data"
  ☆35Updated 5 years ago
• usaito / dr-ranking-metric
  (RecSys2020) "Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions"
  ☆24Updated 2 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
• wuliwei9278 / SSE
  Partial Codes and datasets for NeurIPS'19 "Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers"
  ☆20Updated 6 years ago
• berkeley-reclab / RecLab
  ☆68Updated 2 years ago
• cheungdaven / autosvdpp
  Implementation of AutoSVD++ (SIGIR 2017)
  ☆15Updated 7 years ago
• rank2rec / rerank
  ☆83Updated 6 years ago
• graytowne / rank_distill
  A PyTorch implementation of Ranking Distillation
  ☆90Updated 5 years ago
• AaronJi / RL
  A set of RL experiments. Currently including: (1) the MDP rank experiment, based on policy gradient algorithm
  ☆27Updated 3 years ago
• massquantity / DBRL
  Dataset Batch(offline) Reinforcement Learning for recommender system
  ☆153Updated 5 years ago
• deeplearningbrasil / mars-gym
  ☆50Updated last year
• 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
• yihong-chen / lambda-opt
  Pytorch implementation of λOpt: Learn to Regularize Recommender Models in Finer Levels, KDD 2019
  ☆53Updated 5 years ago
• chentingpc / NNCF
  Code for paper "On Sampling Strategies for Neural Network-based Collaborative Filtering"
  ☆39Updated 8 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
• modriczhang / HRL-Rec
  "Hierarchical Reinforcement Learning for Integrated Recommendation" (AAAI 2021) https://ojs.aaai.org/index.php/AAAI/article/view/16580
  ☆58Updated 4 years ago