Jia, Jiekai ; Tahir, Anam ; Koeppl, Heinz (2022)
Decentralized Coordination in Partially Observable Queueing Networks.
GLOBECOM 2022 - 2022 IEEE Global Communications Conference. Rio de Janeiro (04.12.2022-08.12.2022)
doi: 10.1109/GLOBECOM48099.2022.10001584
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
We consider communication in a fully cooperative multi-agent system, where the agents have partial observation of the environment and must act jointly to maximize the overall reward. We have a discrete-time queueing network where agents route packets to queues based only on the partial information of the current queue lengths. The queues have limited buffer capacity, so packet drops happen when they are sent to a full queue. In this work, we implemented a communication channel for the agents to share their information in order to reduce the packet drop rate. For efficient information sharing we use an attention-based communication model, called ATVC, to select informative messages from other agents. The agents then infer the state of queues using a combination of the variational autoencoder, VAE, and product-of-experts, PoE, model. Ultimately, the agents learn what they need to communicate and with whom, instead of communicating all the time with everyone. We also show empirically that ATVC is able to infer the true state of the queues and leads to a policy which outperforms existing baselines.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2022 |
| Autor(en): | Jia, Jiekai ; Tahir, Anam ; Koeppl, Heinz |
| Art des Eintrags: | Bibliographie |
| Titel: | Decentralized Coordination in Partially Observable Queueing Networks |
| Sprache: | Englisch |
| Publikationsjahr: | 2022 |
| Verlag: | IEEE |
| Buchtitel: | 2022 IEEE Global Communications Conference (GLOBECOM): Proceedings |
| Veranstaltungstitel: | GLOBECOM 2022 - 2022 IEEE Global Communications Conference |
| Veranstaltungsort: | Rio de Janeiro |
| Veranstaltungsdatum: | 04.12.2022-08.12.2022 |
| DOI: | 10.1109/GLOBECOM48099.2022.10001584 |
| Kurzbeschreibung (Abstract): | We consider communication in a fully cooperative multi-agent system, where the agents have partial observation of the environment and must act jointly to maximize the overall reward. We have a discrete-time queueing network where agents route packets to queues based only on the partial information of the current queue lengths. The queues have limited buffer capacity, so packet drops happen when they are sent to a full queue. In this work, we implemented a communication channel for the agents to share their information in order to reduce the packet drop rate. For efficient information sharing we use an attention-based communication model, called ATVC, to select informative messages from other agents. The agents then infer the state of queues using a combination of the variational autoencoder, VAE, and product-of-experts, PoE, model. Ultimately, the agents learn what they need to communicate and with whom, instead of communicating all the time with everyone. We also show empirically that ATVC is able to infer the true state of the queues and leads to a policy which outperforms existing baselines. |
| Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Self-Organizing Systems Lab |
| Hinterlegungsdatum: | 06 Jun 2023 13:44 |
| Letzte Änderung: | 02 Aug 2023 14:28 |
| PPN: | 510090176 |
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