alison-carrera / mabalgsLinks
Multi-Armed Bandit Algorithms Library (MAB)
☆133Updated 3 years ago
Alternatives and similar repositories for mabalgs
Users that are interested in mabalgs are comparing it to the libraries listed below
Sorting:
- Contextual bandit in python☆112Updated 4 years ago
- Library of contextual bandits algorithms☆336Updated last year
- A lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.☆70Updated 4 years ago
- Multi-Armed Bandit algorithms applied to the MovieLens 20M dataset☆57Updated 5 years ago
- Bandit algorithms simulations for online learning☆88Updated 5 years ago
- In this notebook several classes of multi-armed bandits are implemented. This includes epsilon greedy, UCB, Linear UCB (Contextual bandit…☆89Updated 5 years ago
- [IJAIT 2021] MABWiser: Contextual Multi-Armed Bandits Library☆267Updated last year
- 🔬 Research Framework for Single and Multi-Players 🎰 Multi-Arms Bandits (MAB) Algorithms, implementing all the state-of-the-art algorith…☆416Updated last year
- ☆36Updated 6 years ago
- Play with the solutions to the multi-armed-bandit problem.☆415Updated last year
- Multi Armed Bandits implementation using the Yahoo! Front Page Today Module User Click Log Dataset☆99Updated 4 years ago
- Implementing LinUCB and HybridLinUCB in Python.☆49Updated 7 years ago
- Python implementations of contextual bandits algorithms☆811Updated 5 months ago
- working example of a contextual multi-armed bandit☆55Updated 6 years ago
- Predict and recommend the news articles, user is most likely to click in real time.☆32Updated 7 years ago
- AuctionGym is a simulation environment that enables reproducible evaluation of bandit and reinforcement learning methods for online adver…☆181Updated last week
- Study NeuralUCB and regret analysis for contextual bandit with neural decision☆99Updated 3 years ago
- Big Data's open seminars: An Interactive Introduction to Reinforcement Learning☆63Updated 4 years ago
- Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising☆480Updated 4 years ago
- scripts for evaluation of contextual bandit algorithms☆45Updated 5 years ago
- Implementations and examples of common offline policy evaluation methods in Python.☆224Updated 2 years ago
- Stream Data based News Recommendation - Contextual Bandit Approach☆47Updated 8 years ago
- RL-Bakery makes it easy to build production, large scale, batch Deep Reinforcement Learning applications.☆95Updated last year
- ☆106Updated 4 years ago
- RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems☆124Updated 3 years ago
- Python library for Multi-Armed Bandits☆766Updated 5 years ago
- Real-Time Bidding by Reinforcement Learning in Display Advertising☆185Updated 4 years ago
- More about the exploration-exploitation tradeoff with harder bandits☆24Updated 6 years ago
- ☆50Updated last year
- ☆50Updated 2 years ago