Alternatives and similar repositories for ConUCB

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

• chenhaokun / TPGR
  python implementation of the TPGR
  ☆40Updated 6 years ago
• jerryhao66 / HRL
  ☆61Updated 6 years ago
• BetsyHJ / SOFA
  A TensorFlow implementation of SOFA, the Simulator for OFfline LeArning and evaluation.
  ☆21Updated 5 years ago
• henryslzhao / RL4Recsys
  paper list in the area of reinforcenment learning for recommendation systems
  ☆25Updated 5 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
• xinshi-chen / GenerativeAdversarialUserModel
  Tensorflow implementation for "Generative Adversarial User Model forReinforcement Learning Based Recommendation System"
  ☆131Updated 6 years ago
• JianGuanTHU / IRecGAN
  Implementation for our paper in NeurIPS 2019
  ☆48Updated 5 years ago
• dgliu / RecSys21_DIB
  Experiments codes for RecSys '21 paper "Mitigating Confounding Bias in Recommendation via Information Bottleneck"
  ☆19Updated 3 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
• RyanWangZf / CVIB-Rec
  Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.
  ☆28Updated 4 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
• zyang1580 / SML
  This is an implementation for our SIGIR 2020 paper: How to Retrain Recommender System? A Sequential Meta-Learning Method.
  ☆46Updated 2 years ago
• TobyGE / FCPO
  code for ‘Towards Long-term Fairness in Recommendation’
  ☆23Updated 2 years ago
• DongHande / AutoDebias
  This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.
  ☆108Updated 3 years ago
• guosyjlu / MRDR-DL
  TensorFlow Implementation of "Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation" in SIGIR'21
  ☆26Updated 2 years ago
• qinjr / RIM
  code for RIM
  ☆22Updated 3 years ago
• fanyubupt / KERL
  KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation
  ☆50Updated 5 years ago
• waterhorse1 / MELU_pytorch
  An unofficial pytorch implementation of MELU
  ☆46Updated last year
• CHIANGEL / Research-Paper-Note
  My research paper notes, focusing on data mining/recommender/reinforcement learning. 我的论文笔记，主要聚焦于数据挖掘、推荐系统、强化学习
  ☆22Updated 4 years ago
• dingjingtao / ReinforceNS
  ☆41Updated 6 years ago
• Applied-Machine-Learning-Lab / RMTL
  ☆28Updated last year
• zoulixin93 / pseudo_dyna_q
  ☆14Updated 5 years ago
• zyang1580 / PDA
  This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…
  ☆107Updated 2 years ago
• WenjieWWJ / DenoisingRec
  Adaptive Denoising Training (ADT) for Recommendation.
  ☆75Updated 3 years ago
• rec-agent / rec-rl
  ☆55Updated 6 years ago
• IIEdm / TaNP
  [WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation
  ☆33Updated 4 years ago
• Jinjiarui / rl4rs-papers
  A collection of research and survey papers of reforcement learning (RL) based recommender system techniques.
  ☆72Updated 5 years ago
• Wenhui-Yu / LCFN
  Codes for papers: 1. Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters (ICML). 2. Less is More: Explorin…
  ☆78Updated 2 years ago
• shuaili8 / Bandit_book_solutions
  ☆13Updated 3 years ago
• wenqifan03 / Recommender-System-Datasets
  A list of compatible datasets, noting other major repositories containing popular real-world datasets, along with sample code for a range…
  ☆12Updated 6 years ago