In many circumstances, choices result in multiple simultaneous outcomes, all of which should be integrated to optimally update reward expectation. Yet, to date, empirical investigations of reinforcement learning have mostly focused on situations where choices deliver only one outcome at a time. To understand how humans...
Henri Vandendriessche, Gruson Charlotte, Antonios Nasioulas et al.· 0 citations
This chapter examines how Human-Centric Artificial Intelligence is transforming sustainable and resilient design in the built environment. With buildings responsible for nearly 40% of global energy use and 30% of greenhouse gas emissions, the chapter underscores the need for energy-efficient and carbon-neutral architec...
The emergence of Internet of Things (IoT) devices in next-generation communication networks has brought about new and complex challenges related to resource management, which include massive connectivity, heterogeneous traffic loads, and strict energy considerations. Static and heuristic resource allocation algorithms...
Nitish Kumar, Mohammad Shahbaz Khan· International Journal of Sci...· 0 citations
The RACINES dataset was collected to support the development of a simulation environment based on generative adversarial networks and the training of a deep reinforcement learning policy for robotic cardiac ultrasound scanning. The data were collected using a robotic arm equipped with an ultrasound probe to perform car...
Hanae Elmekki, Amanda Spilkin, Ehsan Zakeri et al.· Federated Research Data Repo...· 0 citations
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Abstract Artificial intelligence (AI) is increasingly being applied to electronic design automation (EDA), particularly in logic synthesis, where designers must choose optimization operations that affect circuit area, timing, power, and quality of results (QoR). This study reviews recent AI-based approaches that suppor...
Xylil Paragas· Zenodo (CERN European Organi...· 0 citations
This descriptive-correlational study examined the instructional leadership styles of master teachers and the classroom management delivery of regular teachers in public secondary schools in the Division of Oriental Mindoro. The respondents were 200 educators, comprising 50 master teachers and 150 regular teachers selec...
Suzette Matanguihan· QualiSearch Journal of Educa...· 0 citations
Deep Reinforcement Learning (DRL), which integrates reinforcement learning with deep neural networks (DNNs), has been extensively researched across diverse domains. Robotics, in particular, has seen significant advancements, as DRL enables agents to extract meaningful features from high-dimensional observations and mak...
Hiroto Takigasaki, Takahiro Iwata, Seankein Yoshioka et al.· Frontiers in Neurorobotics· 0 citations
Abstract. The Arctic Weather Satellite (AWS), launched by the European Space Agency (ESA) in August 2024, has enabled the first-ever global ice cloud remote sensing using 325 GHz terahertz channels. Owing to its short wavelength, the 325 GHz frequency band is highly sensitive to scattering by the three frozen hydromete...
Abstract. To address the difficulty in coordinating component-degradation regulation strategies with opportunistic maintenance timings over the full lifecycle of wind turbines, this study proposes a reinforcement-learning–based collaborative optimization method for wind-turbine load regulation and opportunistic mainten...
Jie Lin, Jing Shi, Jianghao Zhu et al.· 0 citations
ABSTRACTBetween 2016 and 2026, the AI research community documented a consistent failure mode: reinforcement learning agents optimize measured proxies rather than intended outcomes, exploiting gaps in reward specifications, evaluation infrastructure, and environmental constraints. What began as curiosities in simulated...
Jovan Ivković· Zenodo (CERN European Organi...· 0 citations
Urban traffic congestion remains a critical challenge in modern cities, contributing to increased travel times, environmental pollution, and economic inefficiencies. This research paper explores the application of predictive algorithms for real-time optimization of urban traffic flow, aiming to enhance mobility and red...
Mostafa Gamal, O. A. Ibrahim· Scientific Reports· 0 citations
The behavioral development of preschool children is an important component of their overall psychological, social, emotional, and personal development. During the preschool years, children gradually acquire socially accepted patterns of behavior, learn to regulate emotions, communicate with peers and adults, follow rul...
Prabha Jha used her experience with MIT Open Learning’s program for senior executives to develop AI solutions for her employer, Verizon, and to write a book.
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
