Статті в журналах з теми "Combinatorial multi-armed bandits"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся з топ-26 статей у журналах для дослідження на тему "Combinatorial multi-armed bandits".
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.
Переглядайте статті в журналах для різних дисциплін та оформлюйте правильно вашу бібліографію.
Ontañón, Santiago. "Combinatorial Multi-armed Bandits for Real-Time Strategy Games." Journal of Artificial Intelligence Research 58 (March 29, 2017): 665–702. http://dx.doi.org/10.1613/jair.5398.
Повний текст джерелаXu, Lily, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, and Milind Tambe. "Dual-Mandate Patrols: Multi-Armed Bandits for Green Security." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 17 (May 18, 2021): 14974–82. http://dx.doi.org/10.1609/aaai.v35i17.17757.
Повний текст джерелаZhou, Huozhi, Lingda Wang, Lav Varshney, and Ee-Peng Lim. "A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 6933–40. http://dx.doi.org/10.1609/aaai.v34i04.6176.
Повний текст джерелаMoraes, Rubens, Julian Mariño, Levi Lelis, and Mario Nascimento. "Action Abstractions for Combinatorial Multi-Armed Bandit Tree Search." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 14, no. 1 (September 25, 2018): 74–80. http://dx.doi.org/10.1609/aiide.v14i1.13018.
Повний текст джерелаDu, Yihan, Siwei Wang, and Longbo Huang. "A One-Size-Fits-All Solution to Conservative Bandit Problems." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 8 (May 18, 2021): 7254–61. http://dx.doi.org/10.1609/aaai.v35i8.16891.
Повний текст джерелаAgarwal, Mridul, Vaneet Aggarwal, Abhishek Kumar Umrawal, and Chris Quinn. "DART: Adaptive Accept Reject Algorithm for Non-Linear Combinatorial Bandits." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 8 (May 18, 2021): 6557–65. http://dx.doi.org/10.1609/aaai.v35i8.16812.
Повний текст джерелаGai, Yi, Bhaskar Krishnamachari, and Rahul Jain. "Combinatorial Network Optimization With Unknown Variables: Multi-Armed Bandits With Linear Rewards and Individual Observations." IEEE/ACM Transactions on Networking 20, no. 5 (October 2012): 1466–78. http://dx.doi.org/10.1109/tnet.2011.2181864.
Повний текст джерелаOntanon, Santiago. "The Combinatorial Multi-Armed Bandit Problem and Its Application to Real-Time Strategy Games." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 9, no. 1 (June 30, 2021): 58–64. http://dx.doi.org/10.1609/aiide.v9i1.12681.
Повний текст джерелаZhang, Chen, and Steven C. H. Hoi. "Partially Observable Multi-Sensor Sequential Change Detection: A Combinatorial Multi-Armed Bandit Approach." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 5733–40. http://dx.doi.org/10.1609/aaai.v33i01.33015733.
Повний текст джерелаNasim, Imtiaz, Ahmed S. Ibrahim, and Seungmo Kim. "Learning-Based Beamforming for Multi-User Vehicular Communications: A Combinatorial Multi-Armed Bandit Approach." IEEE Access 8 (2020): 219891–902. http://dx.doi.org/10.1109/access.2020.3043301.
Повний текст джерелаChen, Xiaowei, Jiawei Xue, Zengxiang Lei, Xinwu Qian, and Satish V. Ukkusuri. "Online eco-routing for electric vehicles using combinatorial multi-armed bandit with estimated covariance." Transportation Research Part D: Transport and Environment 111 (October 2022): 103447. http://dx.doi.org/10.1016/j.trd.2022.103447.
Повний текст джерелаTaheri Javan, Nastooh, Masoud Sabaei, and Vesal Hakami. "IEEE 802.15.4.e TSCH-Based Scheduling for Throughput Optimization: A Combinatorial Multi-Armed Bandit Approach." IEEE Sensors Journal 20, no. 1 (January 1, 2020): 525–37. http://dx.doi.org/10.1109/jsen.2019.2941012.
Повний текст джерелаHan, Kai, Yuntian He, Alex X. Liu, Shaojie Tang, and He Huang. "Differentially Private and Budget-Limited Bandit Learning over Matroids." INFORMS Journal on Computing 32, no. 3 (July 2020): 790–804. http://dx.doi.org/10.1287/ijoc.2019.0903.
Повний текст джерелаBandyopadhyay, Sambaran, Pratyush Kumar, and Vijay Arya. "Planning Curtailment of Renewable Generation in Power Grids." Proceedings of the International Conference on Automated Planning and Scheduling 26 (March 30, 2016): 353–57. http://dx.doi.org/10.1609/icaps.v26i1.13779.
Повний текст джерелаWan Ariffin, Wan Nur Suryani Firuz Wan, Xinruo Zhang, Mohammad Reza Nakhai, Hasliza A. Rahim, and R. Badlishah Ahmad. "Online Learning Approach for Predictive Real-Time Energy Trading in Cloud-RANs." Sensors 21, no. 7 (March 25, 2021): 2308. http://dx.doi.org/10.3390/s21072308.
Повний текст джерелаPerera, R. Malinga, Bastian Oetomo, Benjamin I. P. Rubinstein, and Renata Borovica-Gajic. "HMAB." Proceedings of the VLDB Endowment 16, no. 2 (October 2022): 216–29. http://dx.doi.org/10.14778/3565816.3565824.
Повний текст джерелаShweta, Jain, and Gujar Sujit. "A Multiarmed Bandit Based Incentive Mechanism for a Subset Selection of Customers for Demand Response in Smart Grids." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 02 (April 3, 2020): 2046–53. http://dx.doi.org/10.1609/aaai.v34i02.5577.
Повний текст джерелаLykouris, Thodoris, Karthik Sridharan, and Éva Tardos. "Small-Loss Bounds for Online Learning with Partial Information." Mathematics of Operations Research, January 25, 2022. http://dx.doi.org/10.1287/moor.2021.1204.
Повний текст джерелаWang, Yingfei, Hua Ouyang, Chu Wang, Jianhui Chen, Tsvetan Asamov, and Yi Chang. "Efficient Ordered Combinatorial Semi-Bandits for Whole-Page Recommendation." Proceedings of the AAAI Conference on Artificial Intelligence 31, no. 1 (February 13, 2017). http://dx.doi.org/10.1609/aaai.v31i1.10939.
Повний текст джерелаLetard, Alexandre, Tassadit Amghar, Olivier Camp, and Nicolas Gutowski. "COM-MABs: From Users' Feedback to Recommendation." International FLAIRS Conference Proceedings 35 (May 4, 2022). http://dx.doi.org/10.32473/flairs.v35i.130560.
Повний текст джерелаZhou, Yitong, Hesheng Sun, Yibo Jin, Yanfang Zhu, Yuan Li, Zhuzhong Qian, Sheng Zhang, and Sanglu Lu. "Inference replication at edges via combinatorial multi-armed bandit." Journal of Systems Architecture, June 2022, 102636. http://dx.doi.org/10.1016/j.sysarc.2022.102636.
Повний текст джерелаYan, Cairong, Haixia Han, Yanting Zhang, Dandan Zhu, and Yongquan Wan. "Dynamic clustering based contextual combinatorial multi-armed bandit for online recommendation." Knowledge-Based Systems, September 2022, 109927. http://dx.doi.org/10.1016/j.knosys.2022.109927.
Повний текст джерелаWang, Hengzhi, Yongjian Yang, En Wang, Wenbin Liu, Yuanbo Xu, and Jie Wu. "Truthful User Recruitment for Cooperative Crowdsensing Task: A Combinatorial Multi-Armed Bandit Approach." IEEE Transactions on Mobile Computing, 2022, 1. http://dx.doi.org/10.1109/tmc.2022.3153451.
Повний текст джерелаSong, Yunchao, Chen Liu, Wenyi Zhang, Yiliang Liu, Haibo Zhou, and Xuemin Shen. "Two Stage Beamforming in Massive MIMO: A Combinatorial Multi-Armed Bandit Based Approach." IEEE Transactions on Vehicular Technology, 2023, 1–6. http://dx.doi.org/10.1109/tvt.2022.3229312.
Повний текст джерелаModi, Navikkumar, Philippe Mary, and Christophe Moy. "Transfer restless multi-armed bandit policy for energy-efficient heterogeneous cellular network." EURASIP Journal on Advances in Signal Processing 2019, no. 1 (October 21, 2019). http://dx.doi.org/10.1186/s13634-019-0637-1.
Повний текст джерелаShu, Zhaogang, Haoxian Feng, Tarik Taleb, and ZhiFang Zhang. "A Novel Combinatorial Multi-Armed Bandit Game to Identify Online the Changing Top-K Flows in Software-Defined Networks." SSRN Electronic Journal, 2023. http://dx.doi.org/10.2139/ssrn.4326503.
Повний текст джерела