Results 251 to 260 of about 93,633 (316)
Reinforcement learning for optimal control of stochastic nonlinear systems
AIChE Journal, EarlyView.Abstract A reinforcement learning (RL) approach is developed in this work for nonlinear systems under stochastic uncertainty. A stochastic control Lyapunov function (SCLF) candidate is first constructed using neural networks (NNs) as an approximator to the value function, and then a control policy designed using this SCLF is developed to ensure the ...
Xinji Zhu, Yujia Wang, Zhe Wu
wiley +1 more source
Examining the asymmetric effects of fiscal policy instruments on environmental quality in Asian economies. [PDF]
Environ Sci Pollut Res Int, 2020 Ullah S, Majeed MT, Chishti MZ.
europepmc +1 more source
Fiscal Policy with Impure Integenerational Altruism
, 1991 Andrew B. Abel, B. Douglas Bernheim
openalex +2 more sources
Advancements in Machine Learning for Microrobotics in Biomedicine
Advanced Intelligent Systems, EarlyView.Microrobotics is an innovative technology with great potential for noninvasive medical interventions. However, controlling and imaging microrobots pose significant challenges in complex environments and in living organisms. This review explores how machine learning algorithms can address these issues, offering solutions for adaptive motion control and ...
Amar Salehi +6 more
wiley +1 more source
Designing an Optimum Fiscal Policy for Tobacco to Maximise the Tax Revenue, Social Savings and the Net Monetary Benefits in Sri Lanka. [PDF]
Int J Health Policy Manag, 2020 Perera SK +3 more
europepmc +1 more source
Advanced Intelligent Systems, EarlyView.This study introduces a novel method for labeling real‐world color and infrared images using a synthetically trained system. Applied to flight test imagery, the new labels enhance object detection. The method works without expensive truth systems or camera calibration, enabling predictions on past datasets and addressing the need for high‐quality ...
Jeffrey Choate +6 more
wiley +1 more source
Deep Learning Methods in Soft Robotics: Architectures and Applications
Advanced Intelligent Systems, EarlyView.Soft robotics has seen intense research over the past two decades and offers a promising approach for future robotic applications. However, standard industrial methods may be challenging to apply to soft robots. Recent advances in deep learning provide powerful tools to analyze and design complex soft machines that can operate in unstructured ...
Tomáš Čakurda +3 more
wiley +1 more source
Decades of Tight Fiscal Policy Have Left the Health Care System in Italy Ill-Prepared to Fight the COVID-19 Outbreak. [PDF]
Inter Econ, 2020 Prante FJ, Bramucci A, Truger A.
europepmc +1 more source