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pro vyhledávání: '"Lam W"'
Publikováno v:
Advances in Medical Education and Practice, Vol Volume 14, Pp 433-434 (2023)
Isabelle Kelly,* William Lam* UCL Medical School, University College London, London, UK*These authors contributed equally to this workCorrespondence: Isabelle Kelly, UCL Medical School, University College London, London, UK, Tel +44780748
Externí odkaz:
https://doaj.org/article/4f004432471144b2954e2e9fc2d89099
Publikováno v:
Patient Preference and Adherence, Vol Volume 17, Pp 1017-1018 (2023)
William Lam,* Isabelle Kelly* UCL Medical School, University College London, London, UK*These authors contributed equally to this workCorrespondence: William Lam, Tel +447981175435, UCL Medical School, 74 Huntley St, London, WC1E 6DE, UK,
Externí odkaz:
https://doaj.org/article/d5ac1bec29ff4884b905ba25e05bf162
Existing data-driven and feedback traffic control strategies do not consider the heterogeneity of real-time data measurements. Besides, traditional reinforcement learning (RL) methods for traffic control usually converge slowly for lacking data effic
Externí odkaz:
http://arxiv.org/abs/2209.05726
This paper proposes a novel stochastic version of damped and regularized BFGS method for addressing the above problems.
Comment: 24 pages
Comment: 24 pages
Externí odkaz:
http://arxiv.org/abs/1912.04456
Akademický článek
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