Ortiz Jimenez, Andrea Patricia and Weber, Tobias and Klein, Anja (2021):
Multi-Agent Reinforcement Learning for Energy Harvesting Two-Hop Communications With a Partially Observable System State.
In: IEEE Transactions on Green Communications and Networking, 5 (1), pp. 442-456. IEEE, e-ISSN 2473-2400,
DOI: 10.1109/TGCN.2020.3026453,
[Article]
| Item Type: | Article |
|---|---|
| Erschienen: | 2021 |
| Creators: | Ortiz Jimenez, Andrea Patricia and Weber, Tobias and Klein, Anja |
| Title: | Multi-Agent Reinforcement Learning for Energy Harvesting Two-Hop Communications With a Partially Observable System State |
| Language: | English |
| Journal or Publication Title: | IEEE Transactions on Green Communications and Networking |
| Journal volume: | 5 |
| Number: | 1 |
| Publisher: | IEEE |
| Uncontrolled Keywords: | emergenCITY_KOM, emergenCITY_KOM2 |
| Divisions: | 18 Department of Electrical Engineering and Information Technology 18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications 18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications > Communications Engineering LOEWE LOEWE > LOEWE-Zentren LOEWE > LOEWE-Zentren > emergenCITY |
| TU-Projects: | HMWK|III L6-519/03/05.001-(0016)|emergenCity TP Bock |
| Date Deposited: | 22 Mar 2021 09:40 |
| DOI: | 10.1109/TGCN.2020.3026453 |
| Export: | |
| Suche nach Titel in: | TUfind oder in Google |
 |
Send an inquiry |
Options (only for editors)
 |
Show editorial Details |
Drucken
Impressum