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multiarm-bandit

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akshaykhadse / reinforcement-learning

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Implementations of basic concepts dealt under the Reinforcement Learning umbrella. This project is collection of assignments in CS747: Foundations of Intelligent and Learning Agents (Autumn 2017) at IIT Bombay

reinforcement-learning linear-programming thompson-sampling epsilon-greedy ucb policy-evaluation mdps multi-armed-bandits policy-iteration randomised-algorithms reinforcement-learning-excercises kl-divergence markovian-epidemic-processes reinforcement-learning-analysis multiarm-bandit ucb1 howards-pi batch-switching randomized-policy-iteration
  • Updated May 21, 2018
  • Python

sourcecode369 / ml-algorithms-on-scikit-and-keras

Star 17

Implementation scripts of Machine Learning algorithms on Scikit-learn and Keras for complete novice..

machine-learning natural-language-processing reinforcement-learning deep-learning clustering numpy scikit-learn keras regression pandas xgboost classification dimensionality-reduction matplotlib t-sne data-preprocessing grid-search association-rule-learning kfold-cross-validation multiarm-bandit
  • Updated Jul 22, 2018
  • Jupyter Notebook

duoan / OpenMultiarmedBandits

Star 1

A open source multi arm bandit framework for optimize your website quickly. You’ll quickly use the benefits of several simple algorithms—including the epsilon-Greedy, Softmax, and Upper Confidence Bound (UCB) algorithms—by working through this framework written in Java, which you can easily adapt for deployment on your own website.

distribution machine-learning recommendation-system recommendation-engine optimization-algorithms abtest statistical-models website-optimization multiarm-bandit bandit-algorithms openmultiarmedbandits
  • Updated Feb 17, 2018

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