Xiaoyinggit / ConUCBLinks
☆11Updated 5 years ago
Alternatives and similar repositories for ConUCB
Users that are interested in ConUCB are comparing it to the libraries listed below
Sorting:
- python implementation of the TPGR☆40Updated 6 years ago
- Tensorflow implementation for "Generative Adversarial User Model forReinforcement Learning Based Recommendation System"☆131Updated 6 years ago
- Implementation for our paper in NeurIPS 2019☆48Updated 6 years ago
- A TensorFlow implementation of SOFA, the Simulator for OFfline LeArning and evaluation.☆21Updated 5 years ago
- ☆60Updated 6 years ago
- "Hierarchical Reinforcement Learning for Integrated Recommendation" (AAAI 2021) https://ojs.aaai.org/index.php/AAAI/article/view/16580☆58Updated 4 years ago
- paper list in the area of reinforcenment learning for recommendation systems☆25Updated 5 years ago
- Source codes for our SIGIR '23 paper☆32Updated 2 years ago
- code for RIM☆22Updated 3 years ago
- Experiments codes for RecSys '21 paper "Mitigating Confounding Bias in Recommendation via Information Bottleneck"☆19Updated 3 years ago
- An unofficial pytorch implementation of MELU☆46Updated last year
- Experiments codes for SIGIR '20 paper "A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data"☆35Updated 5 years ago
- Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems☆13Updated 3 years ago
- code for ‘Towards Long-term Fairness in Recommendation’☆23Updated 2 years ago
- Official Implementation of Information Theoretic Counterfactual Learning from Missing Not At Random Feedback. NeurIPS 2020.☆28Updated 4 years ago
- KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation☆51Updated 5 years ago
- ☆14Updated 5 years ago
- A pytorch implementation of A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation.☆40Updated 6 years ago
- ☆54Updated 6 years ago
- A Real-World Benchmark for Reinforcement Learning based Recommender System☆232Updated 2 years ago
- A collection of research and survey papers of reforcement learning (RL) based recommender system techniques.☆73Updated 5 years ago
- ☆41Updated 6 years ago
- [KDD 2021] Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System☆77Updated 4 years ago
- A PyTorch implementation of ICLR 2021 paper: Learnable Embedding Sizes for Recommender Systems☆66Updated 5 years ago
- Codes for papers: 1. Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters (ICML). 2. Less is More: Explorin…☆78Updated 2 years ago
- ☆33Updated last year
- The code for paper MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation☆54Updated 5 years ago
- This is an implementation for our SIGIR 2020 paper: How to Retrain Recommender System? A Sequential Meta-Learning Method.☆46Updated 2 years ago
- This is the official implementation for the paper: "CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System"☆79Updated 2 years ago
- Dataset citeulike-a for 'Collaborative Topic Regression with Social Regularization' (CTRSR)☆45Updated 4 years ago