tjuHaoXiaotian / ICML-2020-MSBCB
Code of ICML-2020 paper Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising
☆26Updated 4 years ago
Alternatives and similar repositories for ICML-2020-MSBCB:
Users that are interested in ICML-2020-MSBCB are comparing it to the libraries listed below
- Budget Constrained Bidding for Display Advertising using Model-free Reinforcement Learning☆42Updated 5 years ago
- Tensorflow implementation for "Generative Adversarial User Model forReinforcement Learning Based Recommendation System"☆129Updated 5 years ago
- "Hierarchical Reinforcement Learning for Integrated Recommendation" (AAAI 2021) https://ojs.aaai.org/index.php/AAAI/article/view/16580☆56Updated 3 years ago
- paper list in the area of reinforcenment learning for recommendation systems☆24Updated 4 years ago
- A collection of research and survey papers of reforcement learning (RL) based recommender system techniques.☆72Updated 5 years ago
- python implementation of the TPGR☆39Updated 6 years ago
- A pytorch implementation of A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation.☆40Updated 5 years ago
- Code for "A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising" WSDM 2022☆22Updated 3 years ago
- Explore the potential of recommendation system using reinforcement learning☆15Updated 5 years ago
- ☆38Updated 3 years ago
- This is a repository of the experiment code supporting the paper Real-time Bidding Strategy in Display Advertising: An Empirical Analysis…☆31Updated 2 years ago
- ☆14Updated 4 years ago
- Implementation for our paper in NeurIPS 2019☆48Updated 5 years ago
- ☆17Updated 4 years ago
- ☆11Updated 6 years ago
- ☆20Updated last year
- ☆16Updated 3 years ago
- A comparison of Google SlateQ algorithm with traditional Reinforcement Learning algorithms☆35Updated 2 years ago
- ☆10Updated 4 years ago
- ☆24Updated 4 years ago
- A training and testing framework supporting experiments in CIKM 2016 paper "User Response Learning for Directly Optimizing Campaign Perfo…☆25Updated 6 years ago
- codes for SORL framework for auto-bidding☆40Updated 2 years ago
- ☆25Updated last year
- [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…☆77Updated 2 years ago
- ☆24Updated 3 months ago
- 1st solution for KDD Cup 2020 (RL track)☆60Updated 4 years ago
- Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"☆17Updated 5 years ago
- Reproduce of Top-K Off-Policy Correction for a REINFORCE Recommender System☆25Updated 4 years ago
- ☆18Updated 8 years ago
- Deep reinforcement learning for recommendation system☆182Updated 5 years ago