Добірка наукової літератури з теми "Multi-armed bandit formulation"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся зі списками актуальних статей, книг, дисертацій, тез та інших наукових джерел на тему "Multi-armed bandit formulation".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Статті в журналах з теми "Multi-armed bandit formulation"
Dzhoha, A. S. "Sequential resource allocation in a stochastic environment: an overview and numerical experiments." Bulletin of Taras Shevchenko National University of Kyiv. Series: Physics and Mathematics, no. 3 (2021): 13–25. http://dx.doi.org/10.17721/1812-5409.2021/3.1.
Повний текст джерелаZayas-Cabán, Gabriel, Stefanus Jasin, and Guihua Wang. "An asymptotically optimal heuristic for general nonstationary finite-horizon restless multi-armed, multi-action bandits." Advances in Applied Probability 51, no. 03 (September 2019): 745–72. http://dx.doi.org/10.1017/apr.2019.29.
Повний текст джерелаRoy Chaudhuri, Arghya, and Shivaram Kalyanakrishnan. "Regret Minimisation in Multi-Armed Bandits Using Bounded Arm Memory." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 06 (April 3, 2020): 10085–92. http://dx.doi.org/10.1609/aaai.v34i06.6566.
Повний текст джерелаAi, Jing, and Alhussein A. Abouzeid. "Opportunistic spectrum access based on a constrained multi-armed bandit formulation." Journal of Communications and Networks 11, no. 2 (April 2009): 134–47. http://dx.doi.org/10.1109/jcn.2009.6391388.
Повний текст джерелаBagheri, Saeed, and Anna Scaglione. "The Restless Multi-Armed Bandit Formulation of the Cognitive Compressive Sensing Problem." IEEE Transactions on Signal Processing 63, no. 5 (March 2015): 1183–98. http://dx.doi.org/10.1109/tsp.2015.2389620.
Повний текст джерелаLi, Xinbin, Jiajia Liu, Lei Yan, Song Han, and Xinping Guan. "Relay Selection for Underwater Acoustic Sensor Networks: A Multi-User Multi-Armed Bandit Formulation." IEEE Access 6 (2018): 7839–53. http://dx.doi.org/10.1109/access.2018.2801350.
Повний текст джерелаHo, Chien-Ju, Aleksandrs Slivkins, and Jennifer Wortman Vaughan. "Adaptive Contract Design for Crowdsourcing Markets: Bandit Algorithms for Repeated Principal-Agent Problems." Journal of Artificial Intelligence Research 55 (February 3, 2016): 317–59. http://dx.doi.org/10.1613/jair.4940.
Повний текст джерелаCavenaghi, Emanuele, Gabriele Sottocornola, Fabio Stella, and Markus Zanker. "Non Stationary Multi-Armed Bandit: Empirical Evaluation of a New Concept Drift-Aware Algorithm." Entropy 23, no. 3 (March 23, 2021): 380. http://dx.doi.org/10.3390/e23030380.
Повний текст джерелаLi, Xinbin, Xianglin Xu, Lei Yan, Haihong Zhao, and Tongwei Zhang. "Energy-Efficient Data Collection Using Autonomous Underwater Glider: A Reinforcement Learning Formulation." Sensors 20, no. 13 (July 4, 2020): 3758. http://dx.doi.org/10.3390/s20133758.
Повний текст джерелаMohamed, Ehab Mahmoud, Mohammad Alnakhli, Sherief Hashima, and Mohamed Abdel-Nasser. "Distribution of Multi MmWave UAV Mounted RIS Using Budget Constraint Multi-Player MAB." Electronics 12, no. 1 (December 20, 2022): 12. http://dx.doi.org/10.3390/electronics12010012.
Повний текст джерелаДисертації з теми "Multi-armed bandit formulation"
Ghalme, Ganesh Sambhaji. "Algorithms for Social Good in Online Platforms with Guarantees on Honest Participation and Fairness." Thesis, 2020. https://etd.iisc.ac.in/handle/2005/4573.
Повний текст джерелаЧастини книг з теми "Multi-armed bandit formulation"
Pini, Giovanni, Arne Brutschy, Gianpiero Francesca, Marco Dorigo, and Mauro Birattari. "Multi-armed Bandit Formulation of the Task Partitioning Problem in Swarm Robotics." In Lecture Notes in Computer Science, 109–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32650-9_10.
Повний текст джерелаТези доповідей конференцій з теми "Multi-armed bandit formulation"
Bouneffouf, Djallel, Irina Rish, Guillermo Cecchi, and Raphaël Féraud. "Context Attentive Bandits: Contextual Bandit with Restricted Context." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/203.
Повний текст джерелаAvrachenkov, Konstantin, Laura Cottatellucci, and Lorenzo Maggi. "Slow fading channel selection: A restless multi-armed bandit formulation." In 2012 9th International Symposium on Wireless Communication Systems (ISWCS 2012). IEEE, 2012. http://dx.doi.org/10.1109/iswcs.2012.6328535.
Повний текст джерелаCheung, Mei Yi, Joshua Leighton, and Franz S. Hover. "Multi-armed bandit formulation for autonomous mobile acoustic relay adaptive positioning." In 2013 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2013. http://dx.doi.org/10.1109/icra.2013.6631165.
Повний текст джерелаFeki, Afef, and Veronique Capdevielle. "Autonomous resource allocation for dense LTE networks: A Multi Armed Bandit formulation." In 2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC 2011). IEEE, 2011. http://dx.doi.org/10.1109/pimrc.2011.6140047.
Повний текст джерелаBarbato, Antimo, Lin Chen, Fabio Martignon, and Stefano Paris. "A multi-armed bandit formulation for distributed appliances scheduling in smart grids." In 2014 IEEE Online Conference on Green Communications (OnlineGreencomm). IEEE, 2014. http://dx.doi.org/10.1109/onlinegreencom.2014.7114418.
Повний текст джерелаGai, Yi, Bhaskar Krishnamachari, and Rahul Jain. "Learning Multiuser Channel Allocations in Cognitive Radio Networks: A Combinatorial Multi-Armed Bandit Formulation." In 2010 IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks (IEEE DySPAN). IEEE, 2010. http://dx.doi.org/10.1109/dyspan.2010.5457857.
Повний текст джерелаChen, Kun, Kechao Cai, Longbo Huang, and John C. S. Lui. "Beyond the Click-Through Rate: Web Link Selection with Multi-level Feedback." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/459.
Повний текст джерелаElSayed, Karim A., Ilias Bilionis, and Jitesh H. Panchal. "Evaluating Heuristics in Engineering Design: A Reinforcement Learning Approach." In ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-70425.
Повний текст джерела