Alternatives and similar repositories for RLeToR:

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

• AaronJi / RL
  A set of RL experiments. Currently including: (1) the MDP rank experiment, based on policy gradient algorithm
  ☆27Updated 2 years ago
• ustcljb / topK-off-policy-correction-REINFORCE
  ☆16Updated 4 years ago
• henryslzhao / RL4Recsys
  paper list in the area of reinforcenment learning for recommendation systems
  ☆24Updated 4 years ago
• QingyaoAi / Deep-Listwise-Context-Model-for-Ranking-Refinement
  A Tensorflow implementation of the Deep Listwise Context Model (DLCM) for ranking refinement.
  ☆137Updated last year
• chenhaokun / TPGR
  python implementation of the TPGR
  ☆39Updated 5 years ago
• rec-agent / rec-rl
  ☆52Updated 5 years ago
• rank2rec / rerank
  ☆81Updated 5 years ago
• LihangLiu / Generator-Evaluator
  ☆11Updated 5 years ago
• alimamarankgroup / HPMN
  Lifelong sequential modeling for user response prediction. A comprehensive evaluation framework for our SIGIR 2019 paper.
  ☆102Updated 4 years 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
• ashudeep / Fair-PGRank
  Code for Policy Learning for Fairness in Ranking paper at NeurIPS 2019
  ☆20Updated 2 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
  ☆28Updated 4 years ago
• Atomu2014 / Ads-RecSys-Datasets
  This repository collects some datasets for Ads & RecSys uses, and provide easy-to-use hdf5 iterative access.
  ☆91Updated 4 years ago
• mercurialgh / Reproduce-of-Top-K-Off-Policy-Correction-for-a-REINFORCE-Recommender-System
  Reproduce of Top-K Off-Policy Correction for a REINFORCE Recommender System
  ☆25Updated 4 years ago
• JianGuanTHU / IRecGAN
  Implementation for our paper in NeurIPS 2019
  ☆47Updated 5 years ago
• xiwenchao / ConTS-TOIS-2021
  ☆12Updated last year
• xinshi-chen / GenerativeAdversarialUserModel
  Tensorflow implementation for "Generative Adversarial User Model forReinforcement Learning Based Recommendation System"
  ☆128Updated 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.
  ☆39Updated 5 years ago
• abhi1345 / deep-q-rank
  A deep reinforcement learning approach to search engine ranking (PyTorch). Final Project for UC Berkeley's CS 285: Deep Reinforcement Lea…
  ☆25Updated 8 months ago
• jzbjyb / DSSA
  Document Sequence with Subtopic Attention
  ☆19Updated last year
• gy910210 / exact-k-recommendation
  Code for paper 'Exact-K Recommendation via Maximal Clique Optimization'
  ☆79Updated 4 years ago
• zoulixin93 / FMCTS
  ☆11Updated 5 years ago
• HarrieO / RankingComplexLayouts
  Repository for SIGIR'18 paper: "Ranking for Relevance and Display Preferences in Complex Presentation Layouts"
  ☆15Updated 6 years ago
• ymy4323460 / HATCH
  ☆38Updated 2 years ago
• Jinjiarui / rl4rs-papers
  A collection of research and survey papers of reforcement learning (RL) based recommender system techniques.
  ☆68Updated 4 years ago
• yihong-chen / lambda-opt
  Pytorch implementation of λOpt: Learn to Regularize Recommender Models in Finer Levels, KDD 2019
  ☆53Updated 4 years ago
• THUDM / KDD-Industrial-Papers
  A list of recent industrial papers in KDD'16–'18
  ☆28Updated 5 years ago
• pl8787 / SetRank
  Implementation of SetRank in SIGIR 2020
  ☆51Updated 4 years ago
• graytowne / rank_distill
  A PyTorch implementation of Ranking Distillation
  ☆87Updated 4 years ago
• baichuan / Neural_Bayesian_Personalized_Ranking
  Representation Learning and Pairwise Ranking for Implicit Feedback in Top-N Item Recommendation
  ☆23Updated 7 years ago