keaikai Goto Github PK

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"

generative-metamodeling

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