Bandit algorithms
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Updated
Oct 12, 2017 - Python
Bandit algorithms
Yahoo! news article recommendation system by linUCB
Predict and recommend the news articles, user is most likely to click in real time.
Data Mining course at ETH Zürich.
A collection of implementations of the bandit problem.
Reinforcement learning models for warfarin dose online estimation
python implementation of e-Greedy, UCB, LinUCB, LinThompson, and offline evaluator
Some visualizations of bandit algorithm outputs.
Recommendation using LinUCB algorithm
Multi Armed Bandits implementation using the Yahoo! Front Page Today Module User Click Log Dataset
Contextual bandit algorithm called LinUCB / Linear Upper Confidence Bounds as proposed by Li, Langford and Schapire
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