The Usage of Observing System Simulation Experiments and Reinforcement Learning to Optimize Experimental Design and Operation | Zendy

Joseph Hardin | Zendy; William I. Gustafson | Zendy; Adam Varble | Zendy; Jim Marquis | Zendy; J. M. Comstock | Zendy; Andrew Geiss | Zendy; Sam J. Silva | Zendy; PoLun Ma | Zendy; Scott Giangrande | Zendy; Christine Sweeney | Zendy; V. Chandrasekar | Zendy

Open Access

The Usage of Observing System Simulation Experiments and Reinforcement Learning to Optimize Experimental Design and Operation

Author(s) -

Joseph Hardin,

William I. Gustafson,

Adam Varble,

Jim Marquis,

J. M. Comstock,

Andrew Geiss,

Sam J. Silva,

PoLun Ma,

Scott Giangrande,

Christine Sweeney,

V. Chandrasekar

Publication year - 2021

Publication title -

osti oai (u.s. department of energy office of scientific and technical information)

Language(s) - English

Resource type - Reports

DOI - 10.2172/1769782

Subject(s) - predictability , globe , computer science , process (computing) , reinforcement learning , instrumentation (computer programming) , field (mathematics) , data collection , data science , systems engineering , industrial engineering , operations research , engineering , artificial intelligence , medicine , statistics , physics , mathematics , quantum mechanics , pure mathematics , operating system , ophthalmology

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