Alternatives and similar repositories for oracle_cb:

Users that are interested in oracle_cb are comparing it to the libraries listed below

• adith387 / slates_semisynth_expts
  Semi-synthetic experiments to test several approaches for off-policy evaluation and optimization of slate recommenders.
  ☆43Updated 7 years ago
• ntucllab / striatum
  Contextual bandit in python
  ☆111Updated 3 years ago
• albietz / cb_bakeoff
  scripts for evaluation of contextual bandit algorithms
  ☆45Updated 4 years ago
• tor / libbandit
  Library for Multi-Armed Bandit Algorithms
  ☆57Updated 7 years ago
• SoluMilken / Contextual-Bandit
  Contextual Bandit Algorithms (+Bandit Algorithms)
  ☆22Updated 5 years ago
• SheffieldML / collab
  Collaborative filtering with the GP-LVM
  ☆25Updated 9 years ago
• criteo-research / optimization-continuous-action-crm
  ☆30Updated 4 years ago
• HCDM / BanditLib
  Library of contextual bandits algorithms
  ☆334Updated last year
• premgopalan / hgaprec
  Scalable Recommendation with Hierarchical Poisson Factorization P Gopalan, JM Hofman, DM Blei UAI, 326-335
  ☆55Updated 9 years ago
• olivierjeunen / dual-bandit-kdd-2020
  Source code for our paper "Joint Policy-Value Learning for Recommendation" published at KDD 2020.
  ☆22Updated last year
• blei-lab / deep-exponential-families
  Deep exponential families (DEFs)
  ☆55Updated 7 years ago
• rjagerman / wsdm2019-nonstationary
  Non-stationary Off-policy Evaluation
  ☆13Updated 6 years ago
• blei-lab / deconfounder_tutorial
  ☆87Updated 4 years ago
• franrruiz / p-emb
  Exponential family embeddings (Poisson or Bernoulli) for discrete data
  ☆32Updated 5 years ago
• siemens / policy_search_bb-alpha
  ☆68Updated 6 years ago
• adtech-labs / bayes_logistic
  Bayesian Logistic Regression using Laplace approximations to the posterior.
  ☆48Updated 8 years ago
• andrewk1 / pytorch-deep-bayesian-bandits
  PyTorch port and extension of the Deep Bayesian Bandits Library
  ☆42Updated 5 years ago
• ermongroup / best-arm-delayed
  Code for "Best arm identification in multi-armed bandits with delayed feedback", AISTATS 2018.
  ☆19Updated 6 years ago
• fabianp / hoag
  Hyperparameter optimization with approximate gradient
  ☆66Updated 4 years ago
• dquail / NonStationaryBandit
  Non stationary bandit for experiments with Reinforcement Learning
  ☆34Updated 8 years ago
• rayshi14 / LinearUCB-python
  Linear UCB bandit learning algorithm L Li(2010) python code
  ☆18Updated 10 years ago
• AmazaspShumik / Mixture-Models
  Hierarchical Mixture of Experts,Mixture Density Neural Network
  ☆45Updated 7 years ago
• Alanthink / banditpylib
  A lightweight python library for bandit algorithms
  ☆30Updated 2 years ago
• tbroderick / streaming_vb
  This is code associated with the paper: Broderick, T, Boyd, N, Wibisono, A, Wilson, AC, and Jordan, MI. Streaming variational Bayes. Neur…
  ☆41Updated 10 years ago
• allenday / contextual-bandit
  working example of a contextual multi-armed bandit
  ☆55Updated 5 years ago
• wittawatj / kernel-gof
  NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.
  ☆67Updated 5 years ago
• banditml / banditml
  A lightweight contextual bandit & reinforcement learning library designed to be used in production Python services.
  ☆66Updated 3 years ago
• RobRomijnders / bandit
  Implementation of Counterfactual risk minimization
  ☆26Updated 7 years ago
• aschein / bptf
  Bayesian Poisson tensor factorization
  ☆58Updated 4 months ago
• blei-lab / DynamicPoissonFactorization
  Dynamic version of Poisson Factorization (dPF). dPF captures the changing interest of users and the evolution of items over time accordin…
  ☆48Updated 9 years ago