A pytorch implementation of A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation.
☆40Nov 26, 2019Updated 6 years ago
Alternatives and similar repositories for Model-Based-Reinforcement-Learning-for-Online-Recommendation
Users that are interested in Model-Based-Reinforcement-Learning-for-Online-Recommendation are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation for our paper in NeurIPS 2019☆47Dec 18, 2019Updated 6 years ago
- Tensorflow implementation for "Generative Adversarial User Model forReinforcement Learning Based Recommendation System"☆131Sep 10, 2019Updated 7 years ago
- Deep Reinforcement Learning for Movies Recommendation System☆82Jan 5, 2020Updated 6 years ago
- Learning to Recommend using a Deep Reinforcement Agent☆23Apr 2, 2017Updated 9 years ago
- The code to reproduce the experimental results for "A Text-based Deep Reinforcement Learning Framework for Interactive Recommendation".☆12Mar 18, 2021Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆40Nov 16, 2022Updated 3 years ago
- python implementation of the TPGR☆40Mar 27, 2019Updated 7 years ago
- ☆12Jun 17, 2019Updated 7 years ago
- Deep reinforcement learning for recommendation system☆184Jul 1, 2019Updated 7 years ago
- MovieLens recommendation system using reinforcement learning (GYM + PPO)☆49Jul 8, 2020Updated 6 years ago
- ☆54Jul 28, 2019Updated 7 years ago
- Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems☆307May 4, 2023Updated 3 years ago
- ☆14Jun 6, 2020Updated 6 years ago
- KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation☆51Jun 25, 2020Updated 6 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- A set of RL experiments. Currently including: (1) the MDP rank experiment, based on policy gradient algorithm☆27Feb 7, 2022Updated 4 years ago
- Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising☆483Jul 9, 2021Updated 5 years ago
- A curator of Sequential Recommendation algorithms☆20Oct 15, 2020Updated 6 years ago
- The purpose of our research is to study reinforcement learning approaches to building a movie recommender system. We formulate the proble…☆122Dec 22, 2019Updated 6 years ago
- RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems☆127Apr 26, 2022Updated 4 years ago
- Latent Space Virtual Adversarial Training (ECCV 2020)☆17Nov 12, 2020Updated 5 years ago
- Reproduce of Top-K Off-Policy Correction for a REINFORCE Recommender System☆26Jul 15, 2020Updated 6 years ago
- Dataset Batch(offline) Reinforcement Learning for recommender system☆152Nov 1, 2020Updated 6 years ago
- Reinforced Recommendation toolkit built around pytorch 1.7☆588Dec 8, 2020Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Code for the SIGIR20 paper -- Measuring and Mitigating Item Under-Recommendation Bias inPersonalized Ranking Systems☆16Apr 28, 2020Updated 6 years ago
- ☆11Feb 22, 2019Updated 7 years ago
- ☆15Aug 24, 2019Updated 7 years ago
- Code for paper 'Exact-K Recommendation via Maximal Clique Optimization'☆79Feb 26, 2020Updated 6 years ago
- Using SR-GNN to implement "NISER: Normalized Item and Session Representations to Handle Popularity Bias"☆25Nov 3, 2020Updated 6 years ago
- ☆11Nov 29, 2016Updated 9 years ago
- Virtual-Taobao simulators with OpenAI Gym interface☆533Nov 18, 2019Updated 6 years ago
- A Collaborative Session-based Recommendation Approach with Parallel Memory Modules, SIGIR 2019☆28Jul 7, 2019Updated 7 years ago
- Multi-armed bandits for dynamic movie recommendations☆14Nov 20, 2019Updated 6 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A PyTorch implementation of Neural Attentive Session Based Recommendation (NARM)☆109Dec 8, 2022Updated 3 years ago
- Code of the paper "Synthesizing Aspect-Driven Recommendation Explanations from Reviews", IJCAI'20☆10Apr 5, 2024Updated 2 years ago
- Recommender system based on Flink and Reinforcement Learning☆111Nov 1, 2020Updated 6 years ago
- Code for running experiments and benchmarking on GNNExplainer: Generating Explanations for Graph Neural Networks☆15May 8, 2021Updated 5 years ago
- A Real-World Benchmark for Reinforcement Learning based Recommender System☆240Feb 3, 2024Updated 2 years ago
- Predict and recommend the news articles, user is most likely to click in real time.☆32Apr 3, 2018Updated 8 years ago
- This is an implementation of the POI recommendation model-PPR.☆10Apr 19, 2023Updated 3 years ago