Micro-Armed Bandit: Lightweight & Reusable Reinforcement Learning for Microarchitecture Decision-Making-Reference-Cited by-同舟云学术

Micro-Armed Bandit: Lightweight & Reusable Reinforcement Learning for Microarchitecture Decision-Making

Published:2023-10-28 Issue: Volume: Page:
ISSN:
Container-title:56th Annual IEEE/ACM International Symposium on Microarchitecture
language:
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Author:

Gerogiannis Gerasimos¹^ORCID,Torrellas Josep¹^ORCID

Affiliation:

1. University of Illinois at Urbana-Champaign, United States of America

Funder

NSF (National Science Foundation)

DARPA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3613424.3623780

Reference84 articles.

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2. [ 2 ] 3rd Data Prefetching Championship (DPC-3). 2019. https://dpc3.compas.cs.stonybrook.edu [2] 3rd Data Prefetching Championship (DPC-3). 2019. https://dpc3.compas.cs.stonybrook.edu

3. Peter Auer , Nicolo Cesa-Bianchi , and Paul Fischer . 2002. Finite-time Analysis of the Multiarmed Bandit Problem. Machine learning 47 ( 2002 ), 235–256. Peter Auer, Nicolo Cesa-Bianchi, and Paul Fischer. 2002. Finite-time Analysis of the Multiarmed Bandit Problem. Machine learning 47 (2002), 235–256.

4. SIAM journal on computing 32, 1;Auer Peter,2002

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