Contextual bandit algorithm called LinUCB / Linear Upper Confidence Bounds as proposed by Li, Langford and Schapire
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Updated
Feb 2, 2023 - Java
Contextual bandit algorithm called LinUCB / Linear Upper Confidence Bounds as proposed by Li, Langford and Schapire
Multi Armed Bandits implementation using the Yahoo! Front Page Today Module User Click Log Dataset
Recommendation using LinUCB algorithm
Some visualizations of bandit algorithm outputs.
python implementation of e-Greedy, UCB, LinUCB, LinThompson, and offline evaluator
Reinforcement learning models for warfarin dose online estimation
A collection of implementations of the bandit problem.
Data Mining course at ETH Zürich.
Predict and recommend the news articles, user is most likely to click in real time.
Yahoo! news article recommendation system by linUCB
Bandit algorithms
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