Andy Triwinarko, Zoubeir Mlika, Soumaya Cherkaoui
and Iyad Dayoub
Paper (2022)
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| Department: | Department of Computer Engineering and Software Engineering |
|---|---|
| ISBN: | 9783031294198 |
| PolyPublie URL: | https://publications.polymtl.ca/53549/ |
| Conference Title: | 8th International Symposium on ubiquitous Networking (UNeT 2022) |
| Conference Location: | Montreal, Qc, Canada |
| Conference Date(s): | 2022-10-25 - 2022-10-27 |
| Publisher: | Springer |
| DOI: | 10.1007/978-3-031-29419-8_11 |
| Official URL: | https://doi.org/10.1007/978-3-031-29419-8_11 |
| Date Deposited: | 10 Jul 2023 16:30 |
| Last Modified: | 08 Apr 2025 14:40 |
| Cite in APA 7: | Triwinarko, A., Mlika, Z., Cherkaoui, S., & Dayoub, I. (2022, October). Deep Reinforcement Learning to Improve Vehicle-to-Vulnerable Road User Communications in C-V2X [Paper]. 8th International Symposium on ubiquitous Networking (UNeT 2022), Montreal, Qc, Canada. https://doi.org/10.1007/978-3-031-29419-8_11 |
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