ntucllab / striatum
Contextual bandit in python
☆111Updated 3 years ago
Related projects: ⓘ
- Library of contextual bandits algorithms☆330Updated 6 months ago
- Semi-synthetic experiments to test several approaches for off-policy evaluation and optimization of slate recommenders.☆43Updated 6 years ago
- Experimentation for oracle based contextual bandit algorithms.☆31Updated 2 years ago
- Contextual Bandit Algorithms (+Bandit Algorithms)☆22Updated 4 years ago
- Linear UCB bandit learning algorithm L Li(2010) python code☆18Updated 9 years ago
- Bandit algorithms☆29Updated 6 years ago
- scripts for evaluation of contextual bandit algorithms☆42Updated 4 years ago
- working example of a contextual multi-armed bandit☆53Updated 5 years ago
- Real-Time Bidding by Reinforcement Learning in Display Advertising☆174Updated 3 years ago
- Stream Data based News Recommendation - Contextual Bandit Approach☆49Updated 6 years ago
- Multi-Armed Bandit Algorithms Library (MAB)☆129Updated 2 years ago
- Bandit algorithms simulations for online learning☆78Updated 4 years ago
- Multi Armed Bandits implementation using the Yahoo! Front Page Today Module User Click Log Dataset☆93Updated 2 years ago
- A lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.☆65Updated 3 years ago
- ☆50Updated 3 years ago
- Implementing LinUCB and HybridLinUCB in Python.☆43Updated 6 years ago
- ☆34Updated 5 years ago
- This is an implementation of the Dual Learning Algorithm with multi-layer feed-forward neural network for online unbiased learning to ran…☆89Updated last year
- Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.☆242Updated 5 years ago
- Python code for the post "Adversarial Bandits and the Exp3 Algorithm"☆49Updated 4 years ago
- A PyTorch implementation of a Factorization Machine module in cython.☆173Updated 6 years ago
- Predict and recommend the news articles, user is most likely to click in real time.☆30Updated 6 years ago
- Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising☆465Updated 3 years ago
- Epsilon-greedy, softmax and LinUCB contextual bandit implementations [recommender systems]☆48Updated 5 years ago
- ☆14Updated 4 years ago
- Python implementations of contextual bandits algorithms☆739Updated this week
- ☆102Updated 3 years ago
- Non stationary bandit for experiments with Reinforcement Learning☆34Updated 7 years ago
- Exposure Matrix Factorization: modeling user exposure in recommendation☆97Updated 8 years ago
- Big Data's open seminars: An Interactive Introduction to Reinforcement Learning☆61Updated 3 years ago