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Results for Reinforcement learning

Publications & Outputs

  1. Text-driven video acceleration: A weakly-supervised reinforcement learning method

    Ramos, W. L. D. S., Silva, M. M. D., Araujo, E., Moura, V., Martins de Oliveira, K. C., Soriano Marcolino, L. & Nascimento, E., 7/03/2022, (E-pub ahead of print) In: IEEE Transactions on Pattern Analysis and Machine Intelligence.

    Research output: Contribution to journalJournal articlepeer-review

  2. CoPace: Edge Computation Offloading and Caching for Self-Driving with Deep Reinforcement Learning

    Tian, H., Xu, X., Qi, L., Zhang, X., Dou, W., Yu, S. & Ni, Q., 31/12/2021, In: IEEE Transactions on Vehicular Technology. 70, 12, p. 13281-13293 13 p.

    Research output: Contribution to journalJournal articlepeer-review

  3. Saturated Output-Feedback Hybrid Reinforcement Learning Controller for Submersible Vehicles Guaranteeing Output Constraints

    Elhaki, O., Shojaei, K., Shanahan, D. & Montazeri, A., 30/09/2021, In: IEEE Access. 9, p. 136580-136592 13 p.

    Research output: Contribution to journalJournal articlepeer-review

  4. RL-Recruiter+: Mobility-Predictability-Aware Participant Selection Learning for From-Scratch Mobile Crowdsensing

    Hu, Y., Wang, J., Wu, B. & Helal, S., 5/05/2021, (E-pub ahead of print) In: IEEE Transactions on Mobile Computing.

    Research output: Contribution to journalJournal articlepeer-review

  5. Reinforcement learning for scalable and reliable power allocation in SDN-based backscatter heterogeneous network

    Jameel, F., Khan, W. U., Jamshed, M. A., Pervaiz, H., Abbasi, Q. & Jantti, R., 10/08/2020, 2020 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2020. IEEE, p. 1069-1074 6 p.

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

  6. Interpretable policies for reinforcement learning by empirical fuzzy sets

    Huang, J., Angelov, P. P. & Yin, C., 31/05/2020, In: Engineering Applications of Artificial Intelligence. 91, 13 p., 103559.

    Research output: Contribution to journalJournal articlepeer-review

  7. A Reinforcement Learning QoS negotiation Model for IoT middleware: 5th International Conference on Internet of Things, Big Data and Security, IoTBDS 2020

    Udoh, I. S., Kotonya, G., G., W. (ed.), P., K. (ed.), V., C. (ed.) & Institute for Systems and Technologies of Information, C. A. C., 9/05/2020, p. 205-212. 8 p.

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

  8. 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

  9. 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

  10. Temporal-difference Learning with Sampling Baseline for Image Captioning

    Chen, H., Ding, G., Zhao, S. & Han, J., 1/02/2018, 32nd AAAI Conference on Artificial Intelligence 2018. Palo Alto: AAAI, p. 6706-6713 8 p.

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

  11. A tutorial on bridge sampling

    Gronau, Q. F., Sarafoglou, A., Matzke, D., Ly, A., Boehm, U., Marsman, M., Leslie, D. S., Forster, J. J., Wagenmakers, E-J. & Steingroever, H., 12/2017, In: Journal of Mathematical Psychology. 81, p. 80-97 18 p.

    Research output: Contribution to journalJournal articlepeer-review

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