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Copy file name to clipboardExpand all lines: docs/_sources/index.rst.txt
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@@ -56,6 +56,7 @@ Available Bandit Policies
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Available Learning Policies:
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* Epsilon Greedy
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* LinGreedy
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* LinTS
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* LinUCB
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* Popularity
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========
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You can cite MABWiser as:
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* **[IJAIT 2021]** [E. Strong, B. Kleynhans, and S. Kadioglu, "MABWiser: Parallelizable Contextual Multi-Armed Bandits"](https://www.worldscientific.com/doi/abs/10.1142/S0218213021500214)
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* **[ICTAI 2019]** [E. Strong, B. Kleynhans, and S. Kadioglu, "MABWiser: A Parallelizable Contextual Multi-Armed Bandit Library for Python"](https://ieeexplore.ieee.org/document/8995418)
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* **[IJAIT 2021]** `E. Strong, B. Kleynhans, and S. Kadioglu, "MABWiser: Parallelizable Contextual Multi-Armed Bandits"<https://www.worldscientific.com/doi/abs/10.1142/S0218213021500214>`_
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* **[ICTAI 2019]** `E. Strong, B. Kleynhans, and S. Kadioglu, "MABWiser: A Parallelizable Contextual Multi-Armed Bandit Library for Python"<https://ieeexplore.ieee.org/document/8995418>`_
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.. code-block:: bibtex
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@article{DBLP:journals/ijait/StrongKK21,
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author = {Emily Strong and Bernard Kleynhans and Serdar Kadioglu},
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title = {{MABWiser:} Parallelizable Contextual Multi-armed Bandits},
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