banditml / offline-policy-evaluationLinks
Implementations and examples of common offline policy evaluation methods in Python.
☆224Updated 2 years ago
Alternatives and similar repositories for offline-policy-evaluation
Users that are interested in offline-policy-evaluation are comparing it to the libraries listed below
Sorting:
- A lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.☆69Updated 4 years ago
- RL-Bakery makes it easy to build production, large scale, batch Deep Reinforcement Learning applications.☆93Updated last year
- ☆105Updated 4 years ago
- [IJAIT 2021] MABWiser: Contextual Multi-Armed Bandits Library☆265Updated last year
- Contextual bandit benchmarking☆51Updated 5 months ago
- Python implementations of contextual bandits algorithms☆805Updated 5 months ago
- ☆32Updated 8 months ago
- A Python sandbox for decision making in dynamics☆422Updated 2 years ago
- ☆51Updated 4 years ago
- RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems☆123Updated 3 years ago
- Multi-Armed Bandit Algorithms Library (MAB)☆133Updated 3 years ago
- 🔬 Research Framework for Single and Multi-Players 🎰 Multi-Arms Bandits (MAB) Algorithms, implementing all the state-of-the-art algorith…☆412Updated last year
- AuctionGym is a simulation environment that enables reproducible evaluation of bandit and reinforcement learning methods for online adver…☆181Updated 5 months ago
- working example of a contextual multi-armed bandit☆57Updated 6 years ago
- ☆50Updated last year
- Library of contextual bandits algorithms☆335Updated last year
- Code for reco-gym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising☆479Updated 4 years ago
- Contextual bandit in python☆113Updated 4 years ago
- Implementation of statistical models to analyze time lagged conversions☆263Updated last year
- ☆25Updated 2 years ago
- Simple but Flexible Recommendation Engine in PyTorch☆133Updated 3 years ago
- RLStructures is a library to facilitate the implementation of new reinforcement learning algorithms. It includes a library, a tutorial, a…☆261Updated 2 years ago
- PyTorch port and extension of the Deep Bayesian Bandits Library☆42Updated 6 years ago
- Multi-Armed Bandit algorithms applied to the MovieLens 20M dataset☆57Updated 5 years ago
- ☆316Updated 2 years ago
- Big Data's open seminars: An Interactive Introduction to Reinforcement Learning☆64Updated 4 years ago
- Data Efficient Decision Making☆248Updated 3 years ago
- scripts for evaluation of contextual bandit algorithms☆45Updated 5 years ago
- Python library for Multi-Armed Bandits☆765Updated 5 years ago
- UpliftML: A Python Package for Scalable Uplift Modeling☆328Updated 2 years ago