Effective deep Q-networks (EDQN) strategy for resource allocation based on optimized reinforcement learning algorithm
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1573-7721
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Effective deep Q-networks (EDQN) strategy for resource allocation based on optimized reinforcement learning algorithm ; day:5 ; month:5 ; year:2022 ; pages:1-17
Multimedia tools and applications ; (5.5.2022), 1-17
- Urheber
-
Talaat, Fatma M.
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s11042-022-13000-0
- URN
-
urn:nbn:de:101:1-2022071318475125927385
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:31 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Talaat, Fatma M.
- SpringerLink (Online service)
Ähnliche Objekte (12)
Towards optimized scheduling and allocation of heterogeneous resource via graph-enhanced EPSO algorithm
Optimized Resource Allocation for Future Wireless Communication Systems
Improving cloud efficiency through optimized resource allocation technique for load balancing using LSTM machine learning algorithm
Adaptive manufacturing: dynamic resource allocation using multi-agent reinforcement learning
A survey on applications of reinforcement learning in spatial resource allocation
Retraction Note: Improving cloud efficiency through optimized resource allocation technique for load balancing using LSTM machine learning algorithm
An OFDMA resource allocation algorithm based on coalitional games
A reinforcement learning-based computing offloading and resource allocation scheme in F-RAN
Mobile resource allocation
Reinforcement Learning and Portfolio Allocation: Challenging Traditional Allocation Methods
Computing resource allocation scheme of IOV using deep reinforcement learning in edge computing environment
Radio Resource Allocation in Cellular V2X: From Rule Based to Reinforcement Learning Based Approaches
Towards optimized scheduling and allocation of heterogeneous resource via graph-enhanced EPSO algorithm
Optimized Resource Allocation for Future Wireless Communication Systems
Improving cloud efficiency through optimized resource allocation technique for load balancing using LSTM machine learning algorithm
Adaptive manufacturing: dynamic resource allocation using multi-agent reinforcement learning
A survey on applications of reinforcement learning in spatial resource allocation
Retraction Note: Improving cloud efficiency through optimized resource allocation technique for load balancing using LSTM machine learning algorithm
An OFDMA resource allocation algorithm based on coalitional games
A reinforcement learning-based computing offloading and resource allocation scheme in F-RAN
Mobile resource allocation
Reinforcement Learning and Portfolio Allocation: Challenging Traditional Allocation Methods
Computing resource allocation scheme of IOV using deep reinforcement learning in edge computing environment
Radio Resource Allocation in Cellular V2X: From Rule Based to Reinforcement Learning Based Approaches
Towards optimized scheduling and allocation of heterogeneous resource via graph-enhanced EPSO algorithm
Optimized Resource Allocation for Future Wireless Communication Systems
Improving cloud efficiency through optimized resource allocation technique for load balancing using LSTM machine learning algorithm
Adaptive manufacturing: dynamic resource allocation using multi-agent reinforcement learning
A survey on applications of reinforcement learning in spatial resource allocation
Retraction Note: Improving cloud efficiency through optimized resource allocation technique for load balancing using LSTM machine learning algorithm
An OFDMA resource allocation algorithm based on coalitional games
A reinforcement learning-based computing offloading and resource allocation scheme in F-RAN
Mobile resource allocation
Reinforcement Learning and Portfolio Allocation: Challenging Traditional Allocation Methods
Computing resource allocation scheme of IOV using deep reinforcement learning in edge computing environment