Alternatives and similar repositories for KuaiSim:

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

• ksRecoTech / Kuai-RL
  ☆22Updated last month
• Applied-Machine-Learning-Lab / RMTL
  ☆24Updated 11 months ago
• chongminggao / DORL-codes
  Source codes for our SIGIR '23 paper
  ☆30Updated last year
• chongminggao / KuaiRand
  An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos
  ☆83Updated 2 months ago
• RecFlow-ICLR / RecFlow
  ☆42Updated 5 months ago
• chongminggao / KuaiRec
  KwaiRec: A Fully-observed Dataset for Recommender Systems.
  ☆144Updated 2 months ago
• modriczhang / HRL-Rec
  "Hierarchical Reinforcement Learning for Integrated Recommendation" (AAAI 2021) https://ojs.aaai.org/index.php/AAAI/article/view/16580
  ☆54Updated 3 years ago
• CharlieMat / KRLBenchmark
  Kuaishou Online RL Benchmark
  ☆18Updated last year
• chongminggao / EasyRL4Rec
  ☆89Updated last year
• kesenzhao / DT4Rec
  ☆19Updated last year
• dgliu / SIGIR20_KDCRec
  Experiments codes for SIGIR '20 paper "A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data"
  ☆32Updated 4 years ago
• chenhaokun / TPGR
  python implementation of the TPGR
  ☆39Updated 5 years ago
• fuxiAIlab / RL4RS
  A Real-World Benchmark for Reinforcement Learning based Recommender System
  ☆230Updated last year
• chongminggao / CIRS-codes
  This is the official implementation for the paper: "CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System"
  ☆68Updated last year
• dgliu / RecSys21_DIB
  Experiments codes for RecSys '21 paper "Mitigating Confounding Bias in Recommendation via Information Bottleneck"
  ☆19Updated 2 years ago
• weitianxin / MACR
  [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System
  ☆75Updated 3 years ago
• gaoyq95 / RerankSim
  ☆20Updated 3 years ago
• xinshi-chen / GenerativeAdversarialUserModel
  Tensorflow implementation for "Generative Adversarial User Model forReinforcement Learning Based Recommendation System"
  ☆129Updated 5 years ago
• zefang-liu / group-recommender
  DRGR: Deep Reinforcement learning based Group Recommender system
  ☆24Updated 3 years ago
• DongHande / AutoDebias
  This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.
  ☆105Updated 2 years ago
• BetsyHJ / SOFA
  A TensorFlow implementation of SOFA, the Simulator for OFfline LeArning and evaluation.
  ☆21Updated 4 years ago
• huiwang98 / DRL4Recsys
  Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems
  ☆13Updated 2 years ago
• WenjieWWJ / DenoisingRec
  Adaptive Denoising Training (ADT) for Recommendation.
  ☆70Updated 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
• fanyubupt / KERL
  KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation
  ☆50Updated 4 years ago
• tsinghua-fib-lab / CLSR
  The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)
  ☆75Updated 2 years ago
• TobyGE / FCPO
  code for ‘Towards Long-term Fairness in Recommendation’
  ☆23Updated last year
• jerryhao66 / HRL
  ☆62Updated 5 years ago
• weberrr / CrossDQN
  ☆15Updated 3 years ago
• rushhan / Generative-Adversarial-User-Model-for-Reinforcement-Learning-Based-Recommendation-System-Pytorch
  ☆40Updated 2 years ago