Alternatives and similar repositories for SORL-for-Auto-bidding

Users that are interested in SORL-for-Auto-bidding are comparing it to the libraries listed below

• alimama-tech / NeurIPS_Auto_Bidding_General_Track_Baseline
  Baseline for NeurIPS_Auto_Bidding_General_Track
  ☆33Updated 10 months ago
• alimama-tech / NeurIPS_Auto_Bidding_AIGB_Track_Baseline
  the baseline for NeurIPS_Auto_Bidding_AIGB_Track
  ☆60Updated 10 months ago
• chaovven / maab
  Code for "A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising" WSDM 2022
  ☆23Updated 3 years ago
• hzn666 / RLBid_EA
  This is a repository of the experiment code supporting the paper Real-time Bidding Strategy in Display Advertising: An Empirical Analysis…
  ☆32Updated 2 years ago
• modriczhang / HRL-Rec
  "Hierarchical Reinforcement Learning for Integrated Recommendation" (AAAI 2021) https://ojs.aaai.org/index.php/AAAI/article/view/16580
  ☆56Updated 3 years ago
• weberrr / CrossDQN
  ☆18Updated 3 years ago
• venkatacrc / Budget_Constrained_Bidding
  Budget Constrained Bidding for Display Advertising using Model-free Reinforcement Learning
  ☆43Updated 5 years ago
• tjuHaoXiaotian / ICML-2020-MSBCB
  Code of ICML-2020 paper Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising
  ☆26Updated 4 years ago
• Applied-Machine-Learning-Lab / GAVE
  ☆16Updated 3 weeks ago
• rushhan / Generative-Adversarial-User-Model-for-Reinforcement-Learning-Based-Recommendation-System-Pytorch
  ☆40Updated 2 years ago
• chongminggao / DORL-codes
  Source codes for our SIGIR '23 paper
  ☆31Updated last year
• Jinjiarui / rl4rs-papers
  A collection of research and survey papers of reforcement learning (RL) based recommender system techniques.
  ☆72Updated 5 years ago
• xinshi-chen / GenerativeAdversarialUserModel
  Tensorflow implementation for "Generative Adversarial User Model forReinforcement Learning Based Recommendation System"
  ☆129Updated 5 years ago
• fuxiAIlab / RL4RS
  A Real-World Benchmark for Reinforcement Learning based Recommender System
  ☆231Updated last year
• massquantity / DBRL
  Dataset Batch(offline) Reinforcement Learning for recommender system
  ☆152Updated 4 years ago
• kesenzhao / DT4Rec
  ☆21Updated 2 years ago
• luozachary / drl-rec
  Deep reinforcement learning for recommendation system
  ☆183Updated 5 years ago
• Applied-Machine-Learning-Lab / RMTL
  ☆26Updated last year
• Applied-Machine-Learning-Lab / KuaiSim
  ☆29Updated 9 months ago
• HaozheJasper / CBRL_KDD22
  PyTorch Implementation of KDD '22 paper: ROI-Constrained Bidding via Curriculum-Guided Bayesian Reinforcement Learning
  ☆23Updated last year
• chenhaokun / TPGR
  python implementation of the TPGR
  ☆39Updated 6 years ago
• chongminggao / CIRS-codes
  This is the official implementation for the paper: "CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System"
  ☆74Updated last year
• maybeluo / KDDCup2020-RL-1st-solution
  1st solution for KDD Cup 2020 (RL track)
  ☆61Updated 4 years ago
• ArronDZhang / ROLeR
  The official code for ROLeR from CIKM 2024
  ☆7Updated 7 months ago
• AICS-RLGroup / VirtualTaobao-Imp
  Implementation to VirtualTaobao
  ☆12Updated 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.
  ☆40Updated 5 years ago
• huiwang98 / DRL4Recsys
  Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems
  ☆13Updated 2 years ago
• dgliu / KDD23_EFIN
  Experiments codes for SIGKDD '23 paper "Explicit Feature Interaction-aware Uplift Network for Online Marketing"
  ☆68Updated 10 months ago
• egipcy / LIRD
  Deep Reinforcement Learning for Movies Recommendation System
  ☆80Updated 5 years ago
• ksRecoTech / Kuai-RL
  ☆25Updated last month