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ArchGym: An Open-Source Gymnasium for Machine Learning Assi..:

, In: Proceedings of the 50th Annual International Symposium on Computer Architecture,

Krishnan, Srivatsan ; Yazdanbakhsh, Amir ; Prakash, Shvetank... - p. 1-16 , 2023

Link: https://dl.acm.org/doi/10.1145/3579371.3589049

RT 
T1 <cTitle>Proceedings of the 50th Annual International Symposium on Computer Architecture</cTitle>: T1 <Title>ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3589049&Exemplar=1&LAN=DE
				
A1 Krishnan, Srivatsan
A1 Yazdanbakhsh, Amir
A1 Prakash, Shvetank
A1 Jabbour, Jason
A1 Uchendu, Ikechukwu
A1 Ghosh, Susobhan
A1 Boroujerdian, Behzad
A1 Richins, Daniel
A1 Tripathy, Devashree
A1 Faust, Aleksandra
A1 Janapa Reddi, Vijay
PB ACM
YR 2023
K1 machine learning
K1 machine learning for computer architecture
K1 machine learning for system
K1 reinforcement learning
K1 bayesian optimization
K1 open source
K1 baselines
K1 reproducibility
K1 Computer systems organization
K1 Architectures
K1 Computing methodologies
K1 Machine learning
K1 Learning paradigms
K1 Reinforcement learning
K1 Machine learning algorithms
K1 Machine learning approaches
K1 Bio-inspired approaches
SP 1
OP 16
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3579371.3589049
DO https://dl.acm.org/doi/10.1145/3579371.3589049
SF ELIB - SuUB Bremen

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