End-to-End Differentiable Modeling and Management of the Environment
Author(s) -
Christopher Krapu,
Tyler Felgenhauer
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 - 10.2172/1769703
Subject(s) - computer science , stochastic gradient descent , automatic differentiation , differentiable function , machine learning , artificial intelligence , gradient descent , stochastic optimization , scope (computer science) , transformative learning , optimization problem , physical system , artificial neural network , industrial engineering , mathematical optimization , algorithm , programming language , mathematics , psychology , mathematical analysis , pedagogy , engineering , computation , physics , quantum mechanics
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