VowpalWabbit / cobaLinks
Contextual bandit benchmarking
☆51Updated 4 months ago
Alternatives and similar repositories for coba
Users that are interested in coba are comparing it to the libraries listed below
Sorting:
- Implementations and examples of common offline policy evaluation methods in Python.☆224Updated 2 years ago
- Implementation of Counterfactual risk minimization☆26Updated 8 years ago
- Estimators to perform off-policy evaluation☆13Updated last year
- Experimentation for oracle based contextual bandit algorithms.☆33Updated 3 years ago
- A lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.☆66Updated 4 years ago
- ☆30Updated 5 years ago
- Contextual bandit in python☆114Updated 4 years ago
- Semi-synthetic experiments to test several approaches for off-policy evaluation and optimization of slate recommenders.☆43Updated 7 years ago
- PyTorch port and extension of the Deep Bayesian Bandits Library☆42Updated 6 years ago
- scripts for evaluation of contextual bandit algorithms☆45Updated 5 years ago
- Starter kit for the black box optimization challenge at Neurips 2020☆113Updated 5 years ago
- Public repository for the work on bandit problems☆23Updated last year
- ☆27Updated 7 years ago
- RL-Bakery makes it easy to build production, large scale, batch Deep Reinforcement Learning applications.☆93Updated 11 months ago
- ☆51Updated last year
- An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.☆84Updated 3 years ago
- Interaction-side integration library for Reinforcement Learning loops: Predict, Log, [Learn,] Update☆75Updated 11 months ago
- ☆50Updated 4 years ago
- Context-sensitive ranking and choice in Python with PyTorch☆67Updated 2 years ago
- Exponential family embeddings (Poisson or Bernoulli) for discrete data☆32Updated 6 years ago
- Library for Multi-Armed Bandit Algorithms☆56Updated 8 years ago
- Parameter Importance Analysis Tool☆77Updated 4 years ago
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆67Updated 5 years ago
- working example of a contextual multi-armed bandit☆56Updated 6 years ago
- Contextual Bandit Algorithms (+Bandit Algorithms)☆22Updated 5 years ago
- Code associated with the NeurIPS19 paper "Weighted Linear Bandits in Non-Stationary Environments"☆17Updated 5 years ago
- Implementation of the conjugate prior table for Bayesian Statistics☆52Updated last year
- Data as Demonstrator (DaD) is a meta learning algorithm to improve the multi-step predictive capabilities of a learned time series (e.g. …☆34Updated 9 years ago
- Starter kit for getting started in the NIPS 2017 Criteo Ad Placement Challenge☆18Updated 7 years ago
- Implementation of provably Rawlsian fair ML algorithms for contextual bandits.☆14Updated 8 years ago