Results 91 to 100 of about 12,004,986 (327)

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam, Anthony Siming Chen, Guido Herrmann   +2 more
wiley   +1 more source

An examination of the relationship between risk perceptions, cultural-religious beliefs and coping during COVID-19 pandemic control in South Asian countries: a systematic review

BMC Psychology
Background Covid 19 was declared as a public health emergency by the World Health Organisation (WHO) due to its rapid spread and catastrophic effects on health.
Rakhshi Memon, Ayesha Khaliq, Veronica Ranieri, Muqaddas Asif, Mujeeb Masood Bhatti, Bilal Ahmad Khan, Nasim Chaudhry, Imran B. Chauhdry, Nusrat Husain, Sarah J. L. Edwards   +9 more
doaj   +1 more source

UAV Collision Avoidance in Unknown Scenarios with Causal Representation Disentanglement

Drones
Deep reinforcement learning (DRL) has significantly advanced online path planning for unmanned aerial vehicles (UAVs). Nonetheless, DRL-based methods often encounter reduced performance when dealing with unfamiliar scenarios.
Zhun Fan, Zihao Xia, Che Lin, Gaofei Han, Wenji Li, Dongliang Wang, Yindong Chen, Zhifeng Hao, Ruichu Cai, Jiafan Zhuang   +9 more
doaj   +1 more source

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley   +1 more source

When does policy learning lead to policy change? Exploring the causal chain from learning to change

International Review of Public Policy
Policy learning is a crucial mechanism for policy change. Yet, there is still uncertainty about the conditions under which learning actually leads to change.
Sandra Plümer
doaj   +1 more source

A Smart Magnetically Actuated Flip‐Disc Programmable Metasurface with Ultralow Power Consumption for Real‐Time Channel Control

Advanced Functional Materials, EarlyView.
The study proposes a 1‐bit programmable metasurface based on flip‐disc display, named flip‐disc metasurface (FD‐MTS). This new design enables ultralow energy consumption while maintaining coding patterns. It also exhibits high scalability and multifunctional flexibility.
Jiang Han Bao, Che Liu, Jia Cheng Li, Zhen Hao Fu, Yi Su Huang, Si Qi Huang, Lei Zhang, Jian Wei You, Tie Jun Cui   +8 more
wiley   +1 more source

Health literacy disparities in South Korea: insights from a latent profile analysis

BMC Public Health
Background Health literacy has been empirically linked to overall health outcomes. Existing interventions generally employ a variable-centred approach, often neglecting the cumulative impact of various factors and the ways different groups interact with ...
Sunghyun Kim, Suwon Hwang, Junhyup Lee, Mankyu Choi   +3 more
doaj   +1 more source

Policy learning from evidence during polycrises: a case of EU environmental policy

Policy Design and Practice
Despite their increasing frequency and magnitude, research on how polycrises influence policymaking has been remarkably scarce. In this article, we approach this issue from an evidence-based policy learning perspective.
Bishoy Zaki, Valérie Pattyn, Ellen Wayenberg   +2 more
doaj   +1 more source

Learning Control Policies of Driverless Vehicles from UAV Video Streams in Complex Urban Environments

Remote Sensing, 2019
The way we drive, and the transport of today are going through radical changes. Intelligent mobility envisions to improve the efficiency of traditional transportation through advanced digital technologies, such as robotics, artificial intelligence and ...
Katie Inder, Varuna De Silva, Xiyu Shi
doaj   +1 more source

Policy learning and transfer in regional lifelong learning policies

, 2007
The context of this research is the study of the processes whereby the effectiveness of training and lifelong learning policies are improved. This covers, in particular, the area of research into the policy-making procedure adopted by the regional governments.
openaire   +3 more sources