Research on Restless Bandits
Yoni Nazarathy
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A Novel Implementation of Q-Learning for the Whittle Index, by Lachlan J. Gibson, Peter Jacko, and Yoni Nazarathy. Published in VALUETOOLS 2021: Performance Evaluation Methodologies and Tools .
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The Value of Information and Efficient Switching in Channel Selection, by Jiesen Wang, Yoni Nazarathy, Thomas Taimre. Appears in arXiv:2101.03888.
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Towards Q-learning the Whittle Index for Restless Bandits, by Jing Fu, Yoni Nazarathy, Sarat Moka, and Peter G. Taylor. Published in 2019 Australian & New Zealand Control Conference (ANZCC).
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The role of information in system stability with partially observable servers, by Azam Asanjarani and Yoni Nazarathy. Published in Methodology and Computing in Applied Probability.
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To fish or cut bait?, by Jiahao Diao, Yoni Nazarathy, Thomas Taimre, and Jerzy A Filar. Published in 2017 11th Asian Control Conference (ASCC).
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Wireless channel selection with restless bandits,
by Kuhn, Julia and Nazarathy, Yoni.
A book chapter in Markov Decision Processes in Practice, editors: Richard Boucherie, and Nico van Dijk.
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The challenge of stabilizing control for queueing systems with unobservable server states,
by Yoni Nazarathy, Thomas Taimre, Azam Asanjarani, Julia Kuhn, Brendan Patch, Aapeli Vuorinen.
Published in 2015 5th Australian Control Conference (AUCC).
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Exploration vs exploitation with partially observable Gaussian autoregressive arms,
by Julia Kuhn, Michel Mandjes, Yoni Nazarathy.
Published in Proceedings of the 8th International Conference on Performance Evaluation Methodologies and Tools.
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