GitHub / singhsidhukuldeep / contextual-bandits

A comprehensive Python library implementing a variety of contextual and non-contextual multi-armed bandit algorithms—including LinUCB, Epsilon-Greedy, Upper Confidence Bound (UCB), Thompson Sampling, KernelUCB, NeuralLinearBandit, and DecisionTreeBandit—designed for reinforcement learning applications

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/singhsidhukuldeep%2Fcontextual-bandits

Topics: algorithms, bandit-algorithms, contextual-bandits, epsilon-greedy, linucb, machine-learning, multi-armed-bandit, python, reinforcement-learning

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