Results for Reinforcement learning

Publications & Outputs

1. Cogni-Sec: A secure cognitive enabled distributed reinforcement learning model for medical cyber–physical system

   Mishra, S., Chakraborty, S., Sahoo, K. S. & Bilal, M., 31/12/2023, In: Internet of Things. 24, 100978.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

2. Deep-Deterministic-Policy-Gradient-Based Task Offloading With Optimized K-Means in Edge-Computing-Enabled IoMT Cyber-Physical Systems

   Yang, C., Xu, X., Bilal, M., Wen, Y. & Huang, T., 20/09/2023, (E-pub ahead of print) In: IEEE Systems Journal. p. 1-12 12 p.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

3. Intent-driven Closed-Loop Control and Management Framework for 6G Open RAN

   Zhang, J., Yang, C., Dong, R., Wang, Y., Anpalagan, A., Ni, Q. & Guizani, M., 7/09/2023, (E-pub ahead of print) In: IEEE Internet of Things Journal.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

4. UAV-Enhanced Service Caching for IoT Systems in Extreme Environments

   Yan, H., Li, H., Xu, X. & Bilal, M., 21/06/2023, (E-pub ahead of print) In: IEEE Internet of Things Journal.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

5. Sampled-data Control through Model-Free Reinforcement Learning with Effective Experience Replay

   Xiao, B., Lam, H-K., Su, X., Wang, Z., P.W.Lo, F., Chen, S. & Yeatman, E., 28/02/2023, In: Journal of Automation and Intelligence. 2, 1, 11 p.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

6. 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., 28/02/2023, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 45, 2, p. 2492-2504 13 p.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

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

   Hu, Y., Wang, J., Wu, B. & Helal, S., 31/12/2022, In: IEEE Transactions on Mobile Computing. 21, 12, p. 4555-4568 14 p.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

8. Entropy-based Reinforcement Learning for computation offloading service in software-defined multi-access edge computing

   Li, K., Wang, X., Ni, Q. & Huang, M., 30/11/2022, In: Future Generation Computer Systems. 136, p. 241-251 11 p.

   Research output: Contribution to Journal/Magazine › Journal article › peer-review

9. 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/Magazine › Journal article › peer-review

10. 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 Journal/Magazine › Journal article › peer-review

11. A Novel Implementation of Q-Learning for the Whittle Index

    Gibson, L. J., Jacko, P. & Nazarathy, Y., 8/12/2021, Performance Evaluation Methodologies and Tools - 14th EAI International Conference, VALUETOOLS 2021, Proceedings. Zhao, Q. & Xia, L. (eds.). Cham: Springer, p. 154-170 17 p. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; vol. 404 LNICST).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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