Alternatives and similar repositories for maab

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

• nobodymx / SORL-for-Auto-bidding
  codes for SORL framework for auto-bidding
  ☆40Updated 2 years ago
• alimama-tech / NeurIPS_Auto_Bidding_General_Track_Baseline
  Baseline for NeurIPS_Auto_Bidding_General_Track
  ☆33Updated last year
• kesenzhao / DT4Rec
  ☆21Updated 2 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
• tjuHaoXiaotian / ICML-2020-MSBCB
  Code of ICML-2020 paper Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising
  ☆26Updated 4 years ago
• henryslzhao / RL4Recsys
  paper list in the area of reinforcenment learning for recommendation systems
  ☆24Updated 5 years ago
• rushhan / Generative-Adversarial-User-Model-for-Reinforcement-Learning-Based-Recommendation-System-Pytorch
  ☆40Updated 2 years ago
• wangyuhuix / TrulyPPO
  ☆30Updated 2 years ago
• Jinjiarui / rl4rs-papers
  A collection of research and survey papers of reforcement learning (RL) based recommender system techniques.
  ☆72Updated 5 years ago
• fuxiAIlab / RL4RS
  A Real-World Benchmark for Reinforcement Learning based Recommender System
  ☆229Updated last year
• charleshsc / QT
  ICML'2024: Q-value Regularized Transformer for Offline Reinforcement Learning
  ☆32Updated 7 months ago
• thuml / SPOT
  Code release for "Supported Policy Optimization for Offline Reinforcement Learning" (NeurIPS 2022), https://arxiv.org/abs/2202.06239
  ☆22Updated 2 years ago
• ryanxhr / BEAR
  Pytorch implementation of BEAR in "Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction"
  ☆11Updated 5 years ago
• sauxpa / neural_exploration
  Study NeuralUCB and regret analysis for contextual bandit with neural decision
  ☆96Updated 3 years ago
• polixir / NeoRL
  Python interface for accessing the near real-world offline reinforcement learning (NeoRL) benchmark datasets
  ☆124Updated 8 months ago
• wangyuhuix / TRGPPO
  ☆32Updated 2 years ago
• HzcIrving / DecisionTransformer_StepbyStep
  Decision Transformer: A brand new Offline RL Pattern.
  ☆36Updated 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
• familyld / Awesome-Causal-RL
  A curated list of causal reinforcement learning resources.
  ☆96Updated last year
• alimama-tech / NeurIPS_Auto_Bidding_AIGB_Track_Baseline
  the baseline for NeurIPS_Auto_Bidding_AIGB_Track
  ☆65Updated 11 months ago
• daniellawson9999 / online-decision-transformer
  An unofficial implementation for online decision transformer
  ☆40Updated 2 years ago
• Applied-Machine-Learning-Lab / RMTL
  ☆28Updated last year
• sharkwyf / cgdt
  [AAAI'2024] Critic-Guided Decision Transformer for Offline Reinforcement Learning
  ☆12Updated 2 months ago
• chongminggao / DORL-codes
  Source codes for our SIGIR '23 paper
  ☆31Updated last year
• SwapnilPande / MOReL
  Model-Based Offline Reinforcement Learning
  ☆51Updated 4 years ago
• xinshi-chen / GenerativeAdversarialUserModel
  Tensorflow implementation for "Generative Adversarial User Model forReinforcement Learning Based Recommendation System"
  ☆129Updated 5 years ago
• zjduan / CITransNet
  Implementation of A Context-Integrated Transformer-Based Neural Network for Auction Design (ICML2022).
  ☆18Updated 3 years ago
• lns / memoire
  ☆18Updated 6 years ago
• mktal / kddcup-starting-kit
  The submission template for the Learning to Dispatch and Reposition Competition @ KDD2020.
  ☆88Updated 4 years ago
• Haichao-Zhang / PEX
  Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)
  ☆59Updated 2 years ago