Journal of Process Control · 2022 · 11 citations · 43 references
EngineeringIndustrial EngineeringMathematicsOptimizationProcess ControlProcess Systems EngineeringOptimal ControlOptimization Under UncertaintyProcess EngineeringProcess OptimizationStochastic ControlStochastic OptimizationChance-constrained ModelsChance-constrained OptimizationConstrained ControlOptimal Control Of Stochastic SystemsPolicy Optimization
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Adam: A Method for Stochastic Optimization
Diederik P. Kingma, Jimmy Ba · UvA-DARE (University of Amsterdam) · 2014 · 84.8K citations · Full text
Learning representations by back-propagating errors
David E. Rumelhart, Geoffrey E. Hinton, Ronald J. Williams · Nature · 1986 · 30.9K citations
Human-level control through deep reinforcement learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver et al. · Nature · 2015 · 30K citations
Reinforcement Learning: An Introduction
IEEE Transactions on Neural Networks · 2005 · 25.8K citations
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke, Sam Gross, Francisco Massa et al. · arXiv (Cornell University) · 2019 · 16.2K citations · Full text