qingyun-wu / NonstationaryBanditLibLinks
☆15Updated 5 years ago
Alternatives and similar repositories for NonstationaryBanditLib
Users that are interested in NonstationaryBanditLib are comparing it to the libraries listed below
Sorting:
- ☆18Updated 4 years ago
- Source code for our paper "Pessimistic Decision-Making for Recommender Systems" published at ACM TORS, and RecSys 2021.☆11Updated 2 years ago
- Implementing LinUCB and HybridLinUCB in Python.☆50Updated 7 years ago
- (RecSys2020) "Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions"☆24Updated 2 years ago
- Semi-synthetic experiments to test several approaches for off-policy evaluation and optimization of slate recommenders.☆43Updated 7 years ago
- Predict and recommend the news articles, user is most likely to click in real time.☆32Updated 7 years ago
- Multi Armed Bandits implementation using the Yahoo! Front Page Today Module User Click Log Dataset☆101Updated 3 years ago
- Stream Data based News Recommendation - Contextual Bandit Approach☆48Updated 7 years ago
- Source code for our paper "Joint Policy-Value Learning for Recommendation" published at KDD 2020.☆23Updated 2 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
- Multi-Armed Bandit algorithms applied to the MovieLens 20M dataset☆56Updated 4 years ago
- A toolkit of Reinforcement Learning based Recommendation (RL4Rec)☆23Updated 3 years ago
- Bandit algorithms simulations for online learning☆88Updated 5 years ago
- https://sites.google.com/cornell.edu/recsys2021tutorial☆55Updated 3 years ago
- ☆50Updated 4 years ago
- Offline evaluation of multi-armed bandit algorithms☆23Updated 4 years ago
- A python implementation of Dueling Bandit Gradient Descent (DBGD)☆24Updated 6 years ago
- A lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.☆66Updated 4 years ago
- This repository contains the code used to run generate the data splits, run the hyperparameter tunings, and export the results presented …☆12Updated 2 years ago
- Experiments codes for SIGIR '20 paper "A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data"☆32Updated 5 years ago
- Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"☆17Updated 5 years ago
- Source code for our paper "Top-K Contextual Bandits with Equity of Exposure" published at RecSys 2021.☆16Updated 3 years ago
- A comparison of Google SlateQ algorithm with traditional Reinforcement Learning algorithms☆37Updated 2 years ago
- ☆18Updated 4 years ago
- Non-stationary Off-policy Evaluation☆13Updated 6 years ago
- The implementation for our paper "Slate-Aware Ranking for Recommendation" accepted by WSDM.23☆16Updated 2 years ago
- ☆30Updated 5 years ago
- Off-policy Learning in Two-stage Recommender Systems. https://dl.acm.org/doi/pdf/10.1145/3366423.3380130☆30Updated 5 years ago
- Tutorial for Multi-Stakeholder Recommender Systems☆22Updated 3 years ago
- ☆51Updated last year