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
  ☆39Updated 6 years ago
• JianGuanTHU / IRecGAN
  Implementation for our paper in NeurIPS 2019
  ☆48Updated 5 years ago
• xinshi-chen / GenerativeAdversarialUserModel
  Tensorflow implementation for "Generative Adversarial User Model forReinforcement Learning Based Recommendation System"
  ☆129Updated 5 years ago
• jerryhao66 / HRL
  ☆61Updated 6 years ago
• BetsyHJ / SOFA
  A TensorFlow implementation of SOFA, the Simulator for OFfline LeArning and evaluation.
  ☆21Updated 4 years ago
• dgliu / RecSys21_DIB
  Experiments codes for RecSys '21 paper "Mitigating Confounding Bias in Recommendation via Information Bottleneck"
  ☆19Updated 3 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
• modriczhang / HRL-Rec
  "Hierarchical Reinforcement Learning for Integrated Recommendation" (AAAI 2021) https://ojs.aaai.org/index.php/AAAI/article/view/16580
  ☆57Updated 3 years ago
• dgliu / SIGIR20_KDCRec
  Experiments codes for SIGIR '20 paper "A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data"
  ☆32Updated 5 years ago
• TobyGE / FCPO
  code for ‘Towards Long-term Fairness in Recommendation’
  ☆23Updated last year
• rec-agent / rec-rl
  ☆55Updated 5 years ago
• DongHande / AutoDebias
  This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.
  ☆108Updated 2 years ago
• henryslzhao / RL4Recsys
  paper list in the area of reinforcenment learning for recommendation systems
  ☆24Updated 4 years ago
• chongminggao / DORL-codes
  Source codes for our SIGIR '23 paper
  ☆31Updated last year
• xiwenchao / ConTS-TOIS-2021
  ☆12Updated last year
• fanyubupt / KERL
  KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation
  ☆50Updated 5 years ago
• zoulixin93 / pseudo_dyna_q
  ☆14Updated 5 years ago
• IIEdm / TaNP
  [WWW 2021]Task-adaptive Neural Process for User Cold-Start Recommendation
  ☆33Updated 4 years ago
• graytowne / revisit_adv_rec
  A PyTorch implementation for the Recsys 2020 paper: Revisiting Adversarially Learned Injection Attacks Against Recommender Systems
  ☆23Updated 3 years ago
• mamuyang / PINet
  sigir2019_π-Net: A Parallel Information-sharing Network for Shared account Cross-domain Sequential Recommendations
  ☆20Updated 4 years ago
• weitianxin / MACR
  [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System
  ☆76Updated 3 years ago
• liyongqi67 / ALPINE
  ☆20Updated 4 years ago
• ssui-liu / learnable-embed-sizes-for-RecSys
  A PyTorch implementation of ICLR 2021 paper: Learnable Embedding Sizes for Recommender Systems
  ☆65Updated 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
• dingjingtao / ReinforceNS
  ☆41Updated 5 years ago
• zyang1580 / PDA
  This is an implementation for our SIGIR 2021 paper "Causal Intervention for Leveraging Popularity Bias inRecommendation" based on tensorf…
  ☆105Updated 2 years ago
• CrowdDynamicsLab / GroupIM
  Code for GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation (SIGIR 2020)
  ☆49Updated 2 years ago
• waterhorse1 / MELU_pytorch
  An unofficial pytorch implementation of MELU
  ☆45Updated 11 months 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
• huiwang98 / DRL4Recsys
  Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems
  ☆13Updated 3 years ago