Alternatives and similar repositories for ICML-2020-MSBCB

Users that are interested in ICML-2020-MSBCB are comparing it to the libraries listed below

• xinshi-chen / GenerativeAdversarialUserModel
  Tensorflow implementation for "Generative Adversarial User Model forReinforcement Learning Based Recommendation System"
  ☆130Updated 6 years ago
• venkatacrc / Budget_Constrained_Bidding
  Budget Constrained Bidding for Display Advertising using Model-free Reinforcement Learning
  ☆44Updated 5 years ago
• Jinjiarui / rl4rs-papers
  A collection of research and survey papers of reforcement learning (RL) based recommender system techniques.
  ☆72Updated 5 years ago
• henryslzhao / RL4Recsys
  paper list in the area of reinforcenment learning for recommendation systems
  ☆25Updated 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 4 years ago
• chenhaokun / TPGR
  python implementation of the TPGR
  ☆40Updated 6 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
• maybeluo / KDDCup2020-RL-1st-solution
  1st solution for KDD Cup 2020 (RL track)
  ☆61Updated 5 years ago
• massquantity / DBRL
  Dataset Batch(offline) Reinforcement Learning for recommender system
  ☆153Updated 4 years ago
• alimama-tech / NeurIPS_Auto_Bidding_AIGB_Track_Baseline
  the baseline for NeurIPS_Auto_Bidding_AIGB_Track
  ☆69Updated last year
• JianGuanTHU / IRecGAN
  Implementation for our paper in NeurIPS 2019
  ☆48Updated 5 years ago
• gy910210 / exact-k-recommendation
  Code for paper 'Exact-K Recommendation via Maximal Clique Optimization'
  ☆79Updated 5 years ago
• ymy4323460 / HATCH
  ☆38Updated 3 years ago
• luozachary / drl-rec
  Deep reinforcement learning for recommendation system
  ☆186Updated 6 years ago
• fuxiAIlab / RL4RS
  A Real-World Benchmark for Reinforcement Learning based Recommender System
  ☆230Updated last year
• rk2900 / DLF
  Deep learning for flexible market price modeling (landscape forecasting) in real-time bidding advertising. An implementation of our KDD 2…
  ☆72Updated 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
  ☆26Updated 5 years ago
• Applied-Machine-Learning-Lab / RMTL
  ☆28Updated last year
• dgliu / SIGIR20_KDCRec
  Experiments codes for SIGIR '20 paper "A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data"
  ☆34Updated 5 years ago
• BartyzalRadek / contextual-bandits-recommender
  Implementing LinUCB and HybridLinUCB in Python.
  ☆49Updated 7 years ago
• KKeishiro / Yahoo_recommendation
  Yahoo! news article recommendation system by linUCB
  ☆112Updated 7 years ago
• duchao0726 / DUAL
  Code for paper "Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning"
  ☆64Updated 2 years ago
• www2022paper / WWW-2022-PAPER-SUPPLEMENTARY-MATERIALS
  ☆34Updated 3 years ago
• mcd4874 / Recommendation_system_using_RL_RecSim
  Explore the potential of recommendation system using reinforcement learning
  ☆15Updated 5 years ago
• zhijie-ai / Top-K-Off-Policy-Correction-REINFORCE
  ☆25Updated 4 years ago
• egipcy / LIRD
  Deep Reinforcement Learning for Movies Recommendation System
  ☆82Updated 5 years ago
• rec-agent / rec-rl
  ☆55Updated 6 years ago
• easezyc / MetaHeac
  This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertisin…
  ☆56Updated 3 years ago
• ustcljb / topK-off-policy-correction-REINFORCE
  ☆19Updated 4 years ago
• cszhangzhen / DRL4Recsys
  Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems
  ☆302Updated 2 years ago