Results for Reinforcement learning

Publications & Outputs

1. A survey on autonomous environmental monitoring approaches: towards unifying active sensing and reinforcement learning

   Mansfield, D. & Montazeri, A., 12/03/2024, In: Frontiers in Robotics and AI. 11, 1336612.

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

2. 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., 15/02/2024, In: IEEE Internet of Things Journal. 11, 4, p. 6314-6327 14 p.

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

3. 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

4. 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., 1/12/2023, In: IEEE Systems Journal. 17, 4, p. 5195 - 5206 12 p.

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

5. Reinforcement learning under uncertainty: expected versus unexpected uncertainty and state versus reward uncertainty

   Ez-Zizi, A., Farrell, S., Leslie, D., Malhotra, G. & Ludwig, C. J. H., 1/12/2023, In: Computational Brain and Behavior. 6, 4, p. 626-650 25 p.

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

6. 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

7. 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

8. 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

9. 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

10. 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

11. 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

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