Alternatives and similar repositories for maab

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

• alimama-tech / NeurIPS_Auto_Bidding_General_Track_Baseline
  Baseline for NeurIPS_Auto_Bidding_General_Track
  ☆39Updated last year
• nobodymx / SORL-for-Auto-bidding
  codes for SORL framework for auto-bidding
  ☆43Updated 5 months 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
  ☆58Updated 4 years ago
• kesenzhao / DT4Rec
  ☆20Updated 2 years ago
• thuml / SPOT
  Code release for "Supported Policy Optimization for Offline Reinforcement Learning" (NeurIPS 2022), https://arxiv.org/abs/2202.06239
  ☆23Updated 2 years ago
• zjduan / CITransNet
  Implementation of A Context-Integrated Transformer-Based Neural Network for Auction Design (ICML2022).
  ☆19Updated 3 years ago
• wangyuhuix / TrulyPPO
  ☆30Updated 3 years ago
• apexrl / autombpo
  Implementation of NeurIPS2021 paper <On Effective Scheduling of Model-based Reinforcement Learning>
  ☆13Updated 4 years ago
• rushhan / Generative-Adversarial-User-Model-for-Reinforcement-Learning-Based-Recommendation-System-Pytorch
  ☆41Updated 3 years ago
• polixir / NeoRL
  Python interface for accessing the near real-world offline reinforcement learning (NeoRL) benchmark datasets
  ☆133Updated last year
• XueyingBai / Model-Based-Reinforcement-Learning-for-Online-Recommendation
  A pytorch implementation of A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation.
  ☆40Updated 6 years ago
• tjuHaoXiaotian / ICML-2020-MSBCB
  Code of ICML-2020 paper Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising
  ☆27Updated 5 years ago
• srzer / LaMo-2023
  Official code for "Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning".
  ☆53Updated last year
• wangyuhuix / TRGPPO
  ☆33Updated 3 years ago
• daochenzha / rapid
  [ICLR 2021] Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments.
  ☆59Updated 2 years ago
• daniellawson9999 / online-decision-transformer
  An unofficial implementation for online decision transformer
  ☆41Updated 3 years ago
• HzcIrving / DecisionTransformer_StepbyStep
  Decision Transformer: A brand new Offline RL Pattern.
  ☆37Updated 4 years ago
• lyeskhalil / CORL
  ☆26Updated 3 years ago
• jerryhao66 / HRL
  ☆60Updated 6 years ago
• cheryyunl / Paper-List-of-MARL
  A new paper list for multi-agent reinforcement learning (actively maintained)
  ☆24Updated 5 years ago
• Jinjiarui / rl4rs-papers
  A collection of research and survey papers of reforcement learning (RL) based recommender system techniques.
  ☆73Updated 5 years ago
• ryanxhr / BEAR
  Pytorch implementation of BEAR in "Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction"
  ☆11Updated 6 years ago
• sauxpa / neural_exploration
  Study NeuralUCB and regret analysis for contextual bandit with neural decision
  ☆99Updated 4 years ago
• fuxiAIlab / RL4RS
  A Real-World Benchmark for Reinforcement Learning based Recommender System
  ☆232Updated 2 years ago
• Xiaoyinggit / ConUCB
  ☆11Updated 5 years ago
• lns / memoire
  ☆18Updated 6 years ago
• charleshsc / QT
  ICML'2024: Q-value Regularized Transformer for Offline Reinforcement Learning
  ☆35Updated last year
• tyq1024 / RLx2
  ☆33Updated 2 years ago
• keirp / return_transforms
  ☆20Updated 3 years ago