3 citations · 17 across the 14 of their papers we have counts for
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cs.LG2021★ 1 cited
On the Convergence of Experience Replay in Policy Optimization: Characterizing Bias, Variance, and Finite-Time Convergence
Hua Zheng, Wei Xie, M. Ben Feng
Experience replay is a core ingredient of modern deep reinforcement learning, yet its benefits in policy optimization are poorly understood beyond empirical heuristics. This paper…
cs.LG2021★ 2 cited
Reinforcement Learning Assisted Oxygen Therapy for COVID-19 Patients Under Intensive Care
Hua Zheng, Jiahao Zhu, Wei Xie +1
Patients with severe Coronavirus disease 19 (COVID-19) typically require supplemental oxygen as an essential treatment. We developed a machine learning algorithm, based on a deep R…
cs.AI2021★ 2 cited
Policy Optimization in Dynamic Bayesian Network Hybrid Models of Biomanufacturing Processes
Hua Zheng, Wei Xie, Ilya O. Ryzhov +1
Biopharmaceutical manufacturing is a rapidly growing industry with impact in virtually all branches of medicines. Biomanufacturing processes require close monitoring and control, i…