collinprather / SlateQLinks
A comparison of Google SlateQ algorithm with traditional Reinforcement Learning algorithms
☆37Updated 2 years ago
Alternatives and similar repositories for SlateQ
Users that are interested in SlateQ are comparing it to the libraries listed below
Sorting:
- A collection of research and survey papers of reforcement learning (RL) based recommender system techniques.☆72Updated 5 years ago
- A toolkit of Reinforcement Learning based Recommendation (RL4Rec)☆24Updated 3 years ago
- ☆55Updated 6 years ago
- Off-policy Learning in Two-stage Recommender Systems. https://dl.acm.org/doi/pdf/10.1145/3366423.3380130☆30Updated 5 years ago
- paper list in the area of reinforcenment learning for recommendation systems☆24Updated 5 years ago
- A TensorFlow implementation of SOFA, the Simulator for OFfline LeArning and evaluation.☆21Updated 4 years ago
- Tensorflow implementation for "Generative Adversarial User Model forReinforcement Learning Based Recommendation System"☆129Updated 5 years ago
- Implementing LinUCB and HybridLinUCB in Python.☆49Updated 7 years ago
- ☆11Updated 6 years ago
- ☆19Updated 4 years ago
- Implementation of "Debiasing Item-to-Item Recommendations With Small Annotated Datasets" (RecSys '20)☆39Updated 4 years ago
- A set of RL experiments. Currently including: (1) the MDP rank experiment, based on policy gradient algorithm☆27Updated 3 years ago
- ☆67Updated 2 years ago
- Pytorch implementation of λOpt: Learn to Regularize Recommender Models in Finer Levels, KDD 2019☆53Updated 5 years ago
- Semi-synthetic experiments to test several approaches for off-policy evaluation and optimization of slate recommenders.☆43Updated 7 years ago
- (RecSys2020) "Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions"☆24Updated 2 years ago
- ☆20Updated 5 years ago
- Stream Data based News Recommendation - Contextual Bandit Approach☆48Updated 7 years ago
- Experiments codes for SIGIR '20 paper "A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data"☆32Updated 5 years ago
- A pytorch implementation of A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation.☆40Updated 5 years ago
- ☆82Updated 6 years ago
- Explore the potential of recommendation system using reinforcement learning☆15Updated 5 years ago
- Predict and recommend the news articles, user is most likely to click in real time.☆32Updated 7 years ago
- Code for paper "On Sampling Strategies for Neural Network-based Collaborative Filtering"☆39Updated 7 years ago
- ☆51Updated last year
- Implementation of AutoSVD++ (SIGIR 2017)☆15Updated 7 years ago
- Toy implementation of SLIM and SSLIM Recommendation methods.☆42Updated 7 years ago
- (WSDM2022 Best Paper Award Runner-Up) "Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model"☆13Updated 2 years ago
- Code of ICML-2020 paper Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising☆26Updated 5 years ago
- ☆38Updated 3 years ago