Keaikai's repositories
bandit-algorithms
Epsilon-greedy, softmax and LinUCB contextual bandit implementations [recommender systems]
coms6998-advanced-ml-hw
Assignments for COMS6998 - Advanced Machine Learning for Personalization (Spring 2018)
Contextual-Bandit-News-Article-Recommendation
Predict and recommend the news articles, user is most likely to click in real time.
Contextual-Bandits-for-News-Recommendaion
This repository contains my Python code implementing Contextual Bandits LinUCB algorithm for personalised news recommendations
contextual-bandits-recommender
Implementing LinUCB and HybridLinUCB in Python.
covid19_scenarios
Models of COVID-19 outbreak trajectories and hospital demand
CS234_final_project
Repo of all the code used in our CS234 final project, estimating warfarin dose with LinUCB, winter 2019
EnsembleBandits
Software for the experiments reported in the RecSys 2019 paper "Multi-Armed Recommender System Bandit Ensembles"
l1qr
Lasso Quantile Regression
news-recommend-ire
Stream Data based News Recommendation - Contextual Bandit Approach
Personalized-News-Recommendation
Multi Armed Bandits implementation using the Yahoo! Front Page Today Module User Click Log Dataset
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
RL-movie-recommender
The purpose of our research is to study reinforcement learning approaches to building a movie recommender system. We formulate the problem of interactive recommendation as a contextual multi-armed bandit.
sequential_chance_constrained
[OR 2011] Matlab code for Sequential Convex Approximations to Joint Chance Constrained Programs
WarfarinDoseRL
Reinforcement learning models for warfarin dose online estimation
Yahoo_recommendation
Yahoo! news article recommendation system by linUCB