abhi1345 / deep-q-rank
A deep reinforcement learning approach to search engine ranking (PyTorch). Final Project for UC Berkeley's CS 285: Deep Reinforcement Learning, Decision Making, and Control
☆27Updated 10 months ago
Alternatives and similar repositories for deep-q-rank:
Users that are interested in deep-q-rank are comparing it to the libraries listed below
- A collection of research and survey papers of reforcement learning (RL) based recommender system techniques.☆70Updated 4 years ago
- paper list in the area of reinforcenment learning for recommendation systems☆24Updated 4 years ago
- A set of RL experiments. Currently including: (1) the MDP rank experiment, based on policy gradient algorithm☆27Updated 3 years ago
- A toolkit of Reinforcement Learning based Recommendation (RL4Rec)☆23Updated 2 years ago
- Implementing LinUCB and HybridLinUCB in Python.☆48Updated 6 years ago
- A python implementation of Dueling Bandit Gradient Descent (DBGD)☆23Updated 6 years ago
- Predict and recommend the news articles, user is most likely to click in real time.☆30Updated 6 years ago
- Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"☆17Updated 5 years ago
- MovieLens recommendation system using reinforcement learning (GYM + PPO)☆48Updated 4 years ago
- Source code for our paper "Joint Policy-Value Learning for Recommendation" published at KDD 2020.☆22Updated last year
- A pytorch implementation of A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation.☆40Updated 5 years ago
- Explore the potential of recommendation system using reinforcement learning☆15Updated 4 years ago
- Off-policy Learning in Two-stage Recommender Systems. https://dl.acm.org/doi/pdf/10.1145/3366423.3380130☆29Updated 4 years ago
- ☆51Updated last year
- ☆11Updated 5 years ago
- A comparison of Google SlateQ algorithm with traditional Reinforcement Learning algorithms☆35Updated 2 years ago
- ☆17Updated 4 years ago
- "Hierarchical Reinforcement Learning for Integrated Recommendation" (AAAI 2021) https://ojs.aaai.org/index.php/AAAI/article/view/16580☆54Updated 3 years ago
- ☆38Updated 3 years ago
- A PyTorch implementation of REINFORCE Learning To Rank on OSHUMED, MQ, etc. dataset. Basic idea also appears in SIGIR'17 Reinforcement Le…☆18Updated 7 years ago
- Implementation for our paper in NeurIPS 2019☆48Updated 5 years ago
- Dataset Batch(offline) Reinforcement Learning for recommender system☆151Updated 4 years ago
- ☆14Updated 4 years ago
- A lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.☆66Updated 3 years ago
- Thompson Sampling Tutorial☆52Updated 6 years ago
- A TensorFlow implementation of SOFA, the Simulator for OFfline LeArning and evaluation.☆21Updated 4 years ago
- ☆52Updated 5 years ago
- Study NeuralUCB and regret analysis for contextual bandit with neural decision☆92Updated 3 years ago
- Awesome Deep Reinforcement Learning papers for industrial Search, Recommendation and Advertising.☆203Updated 3 years ago
- python implementation of the TPGR☆39Updated 6 years ago