Reinforcement learning for thermal and reliability management in manycore systems
The advent of manycore systems has led to the need for efficient dynamic thermal and
reliability management techniques to increase system reliability. Increasing power density …
reliability management techniques to increase system reliability. Increasing power density …
Modeling and simulation of Fuzzy-rule based WBAN using multi-level fuzzy colored petri-nets and reinforcement learning
N Majma, SM Babamir - Journal of Computational Science, 2024 - Elsevier
Abstract By developing IoTs (Internet of Things), a new concept is arising in WBANs
(Wireless Body Area Networks), called IoBs (Internet of Bodies). WBANs are the safety …
(Wireless Body Area Networks), called IoBs (Internet of Bodies). WBANs are the safety …
Topological Foundations of Reinforcement Learning
DK Kadurha - arXiv preprint arXiv:2410.03706, 2024 - arxiv.org
The goal of this work is to serve as a foundation for deep studies of the topology of state,
action, and policy spaces in reinforcement learning. By studying these spaces from a …
action, and policy spaces in reinforcement learning. By studying these spaces from a …
Produktionssynergien der Zukunft: Innovationskraft durch Additive Fertigung und Künstliche Intelligenz
M Göldner, L Siebert, J Hüllemann… - Zeitschrift für …, 2023 - degruyter.com
Die hybride Prozesskette aus der draht-und lichtbogenbasierten Additiven Fertigung und
der spanenden Nachbearbeitung bringt neue Herausforderungen in der Prozessauslegung …
der spanenden Nachbearbeitung bringt neue Herausforderungen in der Prozessauslegung …
Decreasing the number of demonstrations required for Inverse Reinforcement Learning by integrating human feedback
Z Oğurlu - 2024 - repository.tudelft.nl
The main concept behind reinforcement learning is that an agent takes certain actions and is
rewarded or punished for these actions. However, the rewards that are involved when …
rewarded or punished for these actions. However, the rewards that are involved when …