Policy Optimization in Dynamic Bayesian Network Hybrid Models of
Biomanufacturing Processes

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Policy Optimization in Dynamic Bayesian Network Hybrid Models of Biomanufacturing Processes

13 May 2021

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Papers citing "Policy Optimization in Dynamic Bayesian Network Hybrid Models of Biomanufacturing Processes"

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Title
Interpretable Biomanufacturing Process Risk and Sensitivity Analyses for Quality-by-Design and Stability Control Wei Xie Bo Wang Cheng Li D. Xie Jared R. Auclair 8 19 0 10 Sep 2019
On the Convergence of Stochastic Gradient Descent with Adaptive Stepsizes Xiaoyun Li Francesco Orabona 76 298 0 21 May 2018
Non-convex Optimization for Machine Learning Prateek Jain Purushottam Kar 174 486 0 21 Dec 2017
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 332 13,295 0 09 Sep 2015
Stochastic First- and Zeroth-order Methods for Nonconvex Stochastic Programming Saeed Ghadimi Guanghui Lan ODL 124 1,562 0 22 Sep 2013
HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent Feng Niu Benjamin Recht Christopher Ré Stephen J. Wright 216 2,273 0 28 Jun 2011