Centralized Training and Decentralized Control through the Actor-Critic Paradigm for Highly Optimized Multicores

While distributed, neural-network-based resource controllers represent the state of the art for their ability to cope with the ever-expanding decision space, such approaches suffer from several limitations, like conflicting control decisions and partial observability. These effects can significantly...

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Veröffentlicht in:	2025 62nd ACM/IEEE Design Automation Conference (DAC) S. 1 - 7
Hauptverfasser:	Dietrich, Benedikt, Khdr, Heba, Henkel, Jorg
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 22.06.2025
Schlagworte:	Aerospace electronics Decentralized control Multicore processing Observability Process control Scalability Temperature control Temperature measurement Thermal stability Training
Online-Zugang:	Volltext
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