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Results for reinforcement learning

Publications & Outputs

  1. A cloud-edge service offloading method for the metaverse in smart manufacturing

    Xiang, H., Zhang, X. & Bilal, M., 30/09/2024, In: Software - Practice and Experience. 54, 9, p. 1714-1732 19 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  2. Edge Computation Offloading With Content Caching in 6G-Enabled IoV

    Zhou, X., Bilal, M., Dou, R., Rodrigues, J. J. P. C., Zhao, Q., Dai, J. & Xu, X., 1/03/2024, In: IEEE Transactions on Intelligent Transportation Systems. 25, 3, p. 2733 - 2747 15 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  3. Edge Data Caching With Consumer-Centric Service Prediction in Resilient Industry 5.0

    Liu, G., Bao, G., Bilal, M., Jones, A., Jing, Z. & Xu, X., 29/02/2024, In: IEEE Transactions on Consumer Electronics. 70, 1, p. 1482 - 1492

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  4. Edge Server Deployment for Health Monitoring With Reinforcement Learning in Internet of Medical Things

    Yan, H., Bilal, M., Xu, X. & Vimal, S., 12/04/2022, (E-pub ahead of print) In: IEEE Transactions on Computational Social Systems.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  5. Dynamic cash management models

    Zhang, Z., 2022, Lancaster University. 141 p.

    Research output: ThesisDoctoral Thesis

  6. Machine Learning for Additive Manufacturing

    Grierson, D., Rennie, A. & Quayle, S., 19/07/2021, In: Encyclopedia. 1, 3, p. 576-588 13 p.

    Research output: Contribution to Journal/MagazineLiterature reviewpeer-review

  7. Participants Selection for From-Scratch Mobile Crowdsensing via Reinforcement Learning: 18th Annual IEEE International Conference on Pervasive Computing and Communications, PerCom 2020

    Hu, Y., Wang, J., Wu, B. & Helal, S., 23/03/2020.

    Research output: Contribution to conference - Without ISBN/ISSN Conference paperpeer-review

  8. New evidence for learning-based accounts of gaze following: Testing a robotic prediction

    Silverstein, P., Westermann, G., Parise, E. & Twomey, K., 30/09/2019, 2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob). IEEE, p. 302-306 5 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  9. Secure Cloud Computing Algorithms for Discrete Constrained Potential Games

    Lu, Y. & Zhu, M., 11/09/2015, IFAC Workshop on Distributed Estimation and Control in Networked Systems. 22 ed. Elsevier, Vol. 48. p. 180-185 6 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  10. Construction of approximation spaces for reinforcement learning

    Böhmer, W., Grunewalder, S., Shen, Y., Musial, M. & Obermayer, K., 2013, In: Journal of Machine Learning Research. 14, p. 2067-2118 52 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review