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Optimal UAV Base Station Trajectories Using Flow-Level Models for Reinforcement Learning.

, , and . IEEE Trans. Cogn. Commun. Netw., 5 (4): 1101-1112 (2019)

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Wireless link adaptation with outdated CSI - a hybrid data-driven and model-based approach., , , and . SPAWC, page 1-5. IEEE, (2020)Thompson Sampling for Linearly Constrained Bandits., , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 1999-2009. PMLR, (2020)QoS-Aware Scheduling in New Radio Using Deep Reinforcement Learning., , , and . PIMRC, page 991-997. IEEE, (2021)Bayesian Link Adaptation under a BLER Target., and . SPAWC, page 1-5. IEEE, (2020)Optimal UAV Base Station Trajectories Using Flow-Level Models for Reinforcement Learning., , and . IEEE Trans. Cogn. Commun. Netw., 5 (4): 1101-1112 (2019)Model-Based Adaptive Modulation and Coding with Latent Thompson Sampling., , and . PIMRC, page 610-616. IEEE, (2021)Contextual Multi-Armed Bandits for Link Adaptation in Cellular Networks., , , , , and . NetAI@SIGCOMM, page 44-49. ACM, (2019)Machine Learning for Wireless Link Adaptation: Supervised and Reinforcement Learning Theory and Algorithms.. Royal Institute of Technology, Stockholm, Sweden, (2021)base-search.net (ftkthstockholm:oai:DiVA.org:kth-293545).Reinforcement Learning for Efficient and Tuning-Free Link Adaptation., , and . CoRR, (2020)Constrained Thompson Sampling for Wireless Link Optimization., , , , and . CoRR, (2019)