The purpose of our research is to study reinforcement learning approaches to building a movie recommender system. We formulate the problem of interactive recommendation as a contextual multi-armed bandit.
☆120Dec 22, 2019Updated 6 years ago
Alternatives and similar repositories for RL-movie-recommender
Users that are interested in RL-movie-recommender are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Reinforcement Learning BPMF Highway_network☆13Aug 3, 2018Updated 7 years ago
- Learning to Recommend using a Deep Reinforcement Agent☆23Apr 2, 2017Updated 8 years ago
- The purpose of this Personalized Music Recommendation Engine is to use reinforcement learning approach to build a music recommender syste…☆35May 8, 2018Updated 7 years ago
- Deep reinforcement learning for recommendation system☆186Jul 1, 2019Updated 6 years ago
- This repository contains recommendation papers and codes, especially reinforcement learning and knowledge graph-based recommendation meth…☆20Dec 17, 2019Updated 6 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems☆308May 4, 2023Updated 2 years ago
- Reinforced Recommendation toolkit built around pytorch 1.7☆590Dec 8, 2020Updated 5 years ago
- RL Recommendation System☆13Aug 30, 2019Updated 6 years ago
- Implementing LinUCB and HybridLinUCB in Python.☆49May 15, 2018Updated 7 years ago
- python implementation of the TPGR☆40Mar 27, 2019Updated 7 years ago
- Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising☆481Jul 9, 2021Updated 4 years ago
- A pytorch implementation of A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation.☆40Nov 26, 2019Updated 6 years ago
- Deep Reinforcement Learning for Movies Recommendation System☆83Jan 5, 2020Updated 6 years ago
- Recommendation System using Deep Q-Networks and Double Deep Q-Networks☆13May 23, 2020Updated 5 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- DeepAir Solutions : Price recommendations for ancillary facilities for airline using deep reinforcement learning. AAP refers to Airline A…☆12Jan 9, 2019Updated 7 years ago
- A comparison of Google SlateQ algorithm with traditional Reinforcement Learning algorithms☆39Dec 27, 2022Updated 3 years ago
- Predict and recommend the news articles, user is most likely to click in real time.☆32Apr 3, 2018Updated 7 years ago
- ☆54Jul 28, 2019Updated 6 years ago
- Recommendation system for music.☆15Mar 12, 2023Updated 3 years ago
- working example of a contextual multi-armed bandit☆55Sep 3, 2019Updated 6 years ago
- The implemetation of Deep Reinforcement Learning based Recommender System from the paper Deep Reinforcement Learning based Recommendation…☆122Jun 24, 2023Updated 2 years ago
- Tensorflow implementation for "Generative Adversarial User Model forReinforcement Learning Based Recommendation System"☆131Sep 10, 2019Updated 6 years ago
- Virtual-Taobao simulators with OpenAI Gym interface☆531Nov 18, 2019Updated 6 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Awesome Deep Reinforcement Learning papers for industrial Search, Recommendation and Advertising.☆219Jun 1, 2021Updated 4 years ago
- ☆20Aug 16, 2020Updated 5 years ago
- Explore the potential of recommendation system using reinforcement learning☆15Apr 23, 2020Updated 5 years ago
- Hands On Reinforcement Learning with Python[Video], Published by Packt☆13Jan 14, 2021Updated 5 years ago
- The implementation of our paper: Improving Top-K Recommendation via Joint Collaborative Autoencoders☆14Apr 28, 2020Updated 5 years ago
- ☆11May 15, 2017Updated 8 years ago
- CFRBM is a implementation of the RBM model to the collaborative filtering task☆40Mar 5, 2018Updated 8 years ago
- ☆27Jul 18, 2019Updated 6 years ago
- A collection of research and survey papers of reforcement learning (RL) based recommender system techniques.☆73Apr 3, 2020Updated 5 years ago
- NordVPN Special Discount Offer • AdSave on top-rated NordVPN 1 or 2-year plans with secure browsing, privacy protection, and support for for all major platforms.
- A set of RL experiments. Currently including: (1) the MDP rank experiment, based on policy gradient algorithm☆27Feb 7, 2022Updated 4 years ago
- This repository contains the LVA code for our paper "Linked Variational AutoEncoders for Inferring Substitutable and Supplementary Items"…☆10Jun 28, 2019Updated 6 years ago
- No Regrets: A deep dive comparison of bandits and A/B testing☆47Feb 17, 2018Updated 8 years ago
- code of paper `Deep Neural Networks for Youtube Recommendation`☆407Apr 11, 2017Updated 8 years ago
- Off-policy Learning in Two-stage Recommender Systems. https://dl.acm.org/doi/pdf/10.1145/3366423.3380130☆30Jun 11, 2020Updated 5 years ago
- ☆11Feb 22, 2019Updated 7 years ago
- ☆11Jun 6, 2021Updated 4 years ago