OSSP-PTA: An Online Stochastic Stepping Policy for PTA on Reinforcement Learning-Reference-Cited by-同舟云学术

OSSP-PTA: An Online Stochastic Stepping Policy for PTA on Reinforcement Learning

Published:2023-11 Issue:11 Volume:42 Page:4310-4323
ISSN:0278-0070
Container-title:IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
language:
Short-container-title:IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst.

Author:

Niu Dan¹^ORCID,Dong Yichao¹,Jin Zhou²^ORCID,Zhang Chuan³^ORCID,Li Qi¹,Sun Changyin⁴^ORCID

Affiliation:

1. School of Automation, Southeast University, Nanjing, China

2. Super Scientific Software Laboratory, China University of Petroleum-Beijing, Beijing, China

3. LEADS, National Mobile Communications Research Laboratory, Frontiers Science Center for Mobile Information Communications and Security of MoE, Quantum Information Center, Southeast University, Nanjing, China

4. School of Artificial Intelligence, Anhui University, Hefei, China

Funder

Natural Science Foundation of Jiangsu Province of China

Key Program of the National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/43/10288105/10057469.pdf?arnumber=10057469

Reference45 articles.

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2. A Markovian Decision Process

3. Robust time-domain source stepping for DC-solution of circuit equations;ter maten;Proc Int Conf Sci Comput Electr Eng (SCEE),2012

4. Exponential Recency Weighted Average Branching Heuristic for SAT Solvers

5. An initial solution algorithm for globally convergent homotopy methods;inoue;IEICE Trans Fundam Electron Commun Comput Sci,2004

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