Alternatives and similar repositories for NeurIPS_Auto_Bidding_AIGB_Track_Baseline

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

• nobodymx / SORL-for-Auto-bidding
  codes for SORL framework for auto-bidding
  ☆42Updated last month
• alimama-tech / NeurIPS_Auto_Bidding_General_Track_Baseline
  Baseline for NeurIPS_Auto_Bidding_General_Track
  ☆36Updated last year
• Applied-Machine-Learning-Lab / GAVE
  ☆33Updated 2 months ago
• thuml / Multi-Embedding
  About Code Release for "On the Embedding Collapse When Scaling Up Recommendation Models" (ICML 2024)
  ☆25Updated last year
• gaoyq95 / RerankSim
  ☆21Updated 4 years ago
• weberrr / PE-LTR
  Demo implementation for "A Pareto-Efficient Algorithm for Multiple Objective Optimization in E-Commerce Recommendation".
  ☆54Updated 5 years ago
• MTDJDSP / MT-LIFT
  The real-world Production Dataset from E-commerce platform Meituan
  ☆29Updated last year
• Applied-Machine-Learning-Lab / RMTL
  ☆28Updated last year
• alibaba / EasyReinforcementLearning
  EasyRL: An easy-to-use and comprehensive reinforcement learning package.
  ☆244Updated 3 years ago
• xuanjixiao / onerec
  在常规推荐系统算法和系统双优化的范式下，一线公司针对单个任务或单个业务的效果挖掘几乎达到极限。从2019年我们开始关注多种信息的萃取融合，提出了OneRec算法，希望通过平台或外部各种各样的信息来进行知识集成，打破数据孤岛，极大扩充推荐的“Extra World Knowl…
  ☆187Updated 2 weeks ago
• ShaoQiBNU / Google_MTL
  Google多任务模型MMoE
  ☆82Updated 4 years ago
• weberrr / CrossDQN
  ☆19Updated 3 years ago
• kesenzhao / DT4Rec
  ☆20Updated 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 4 years ago
• Applied-Machine-Learning-Lab / KuaiSim
  ☆31Updated last year
• tjuHaoXiaotian / ICML-2020-MSBCB
  Code of ICML-2020 paper Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising
  ☆27Updated 5 years ago
• www2022paper / WWW-2022-PAPER-SUPPLEMENTARY-MATERIALS
  ☆34Updated 3 years ago
• fuxiAIlab / RL4RS
  A Real-World Benchmark for Reinforcement Learning based Recommender System
  ☆229Updated last year
• huangsg1 / Internet-advertising-mechanism-and-strategy
  计算广告机制策略相关材料整理(A collection of research and application papers about Strategy in Internet advertising.)
  ☆174Updated last year
• SkylerLinn / Understanding-the-Ranking-Loss
  ☆53Updated 9 months ago
• fly-adser / home_for_adser
  some useful papers and blogs for people who are interested in online advertising
  ☆74Updated 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
• clabrugere / wukong-recommendation
  Implements the paper "Wukong: Towards a Scaling Law for Large-Scale Recommendation" from Meta.
  ☆72Updated 9 months ago
• huawei-noah / benchmark
  ☆276Updated 2 years ago
• cl4ctr / cl4ctr
  The code of CL4CTR
  ☆48Updated 2 years ago
• massquantity / DBRL
  Dataset Batch(offline) Reinforcement Learning for recommender system
  ☆153Updated 4 years ago
• kailiang-zhong / DESCN
  Implementation of paper DESCN, which is accepted in SIGKDD 2022.
  ☆98Updated last year
• eyounx / VirtualTaobao
  Virtual-Taobao simulators with OpenAI Gym interface
  ☆528Updated 5 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
• Applied-Machine-Learning-Lab / ERASE
  Code for the Paper "ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems"
  ☆29Updated 9 months ago