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| 024 | 7 | _ | |2 ISBN |a 979-8-3503-0358-2 |
| 024 | 7 | _ | |2 ISBN |a 979-8-3503-0359-9 |
| 024 | 7 | _ | |2 ISSN |a 1525-3511 |
| 024 | 7 | _ | |2 ISSN |a 1558-2612 |
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| 024 | 7 | _ | |2 WOS |a WOS:001268569304055 |
| 024 | 7 | _ | |2 doi |a 10.1109/WCNC57260.2024.10571228 |
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| 041 | _ | _ | |a English |
| 100 | 1 | _ | |0 P:(DE-82)975657 |a Kopic, Amna |b 0 |e Corresponding author |u rwth |
| 111 | 2 | _ | |a 2024 IEEE Wireless Communications and Networking Conference |c Dubai |d 2024-04-21 - 2024-04-24 |g WCNC |w U Arab Emirates |
| 245 | _ | _ | |a Action Space-Independent Exploration Methods in Multi-Agent Deep Reinforcement Learning for Wireless Power Allocation |h online, print |
| 260 | _ | _ | |a [Piscataway, NJ] |b IEEE |c 2024 |
| 295 | 1 | 0 | |a 2024 IEEE Wireless Communications and Networking Conference (WCNC) : proceedings : Dubai, AE, 21-24 April 2024 / general chair: Raed Shubair (NYU Abu Dhabi, United Arab Emirates) ; publications chair: Aryan Kaushik (University of Sussex, United Kingdom) |
| 300 | _ | _ | |a 6 Seiten |
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