Results 151 to 160 of about 6,522,305 (296)
Reinforcement Learning (RL)-Based Energy Efficient Resource Allocation for Energy Harvesting-Powered Wireless Body Area Network. [PDF]
Xu YH, Xie JW, Zhang YG, Hua M, Zhou W.
europepmc +1 more source
Beyond knowledge: Cultivating noncognitive skills and attributes through anatomy education
Abstract Anatomy education has historically prioritized cognitive knowledge acquisition and technical skills, such as spatial awareness and manual dexterity. Noncognitive attributes, essential for early‐stage learners, such as social skills, motivation, emotional intelligence, self‐regulation, self‐efficacy, and resilience, have remained comparatively ...
Renato Lopes Previdelli +1 more
wiley +1 more source
OMG-RL: Offline Model-based Guided Reward Learning for heparin treatment
Accurate medication dosing plays a critical role in the therapeutic process. Recent studies have investigated the application of Reinforcement Learning (RL) to optimize administration strategies.
Yooseok Lim, Sujee Lee
doaj +1 more source
MIRG-RL: Multi-Image Reasoning and Grounding with Reinforcement Learning
Multi-image reasoning and grounding require understanding complex cross-image relationships at both object levels and image levels. Current Large Visual Language Models (LVLMs) face two critical challenges: the lack of cross-image reasoning capabilities and insufficient cross-image reference reward modeling.
Lihao Zheng +4 more
openaire +3 more sources
Guidelines for designing and implementing game‐based learning in comparative anatomy education
Abstract Game‐based learning (GBL) is increasingly used in health professions anatomy education to promote engagement, knowledge acquisition, collaboration, and application of knowledge. However, its application to comparative veterinary anatomy remains fragmented, with limited guidance on how games can be systematically designed around the specific ...
Arthur Chin Haeng Lau +1 more
wiley +1 more source
Abstract Biomass gasification technology has been extensively researched around the world; however, there is a need to evaluate the current research landscape and evolutionary direction of research in the broader context of energy transition. A systematic bibliometric analysis of the Web of Science database was performed for articles that fall within ...
Olasunkanmi Opeoluwa Adeoye +5 more
wiley +1 more source
Learning from appetitive and aversive stimuli involves interactions between the prefrontal cortex and subcortical structures. Preclinical and theoretical studies indicate that gamma-aminobutyric acid (GABA) is essential in regulating the relevant neural ...
Tal Finkelman +4 more
doaj +1 more source
Mesh-RL: Coupled subgrid reinforcement learning
Reinforcement learning in large or sparse-reward environments suffers from slow temporal-difference reward propagation, as value information spreads only locally across the state space. We propose Mesh-RL, a spatial domain-decomposition framework inspired by the finite element method and domain decomposition theory, which partitions the environment ...
Gheshlaghi, Behnam +2 more
openaire +2 more sources
Abstract In England, education is compulsory, but schooling is not: it is legal for families to home educate their children. This form of education is officially termed by the Department for Education as ‘Elective Home Education’. As this designation implies, many families home educate as a positive and preferential ‘choice’.
Katherine Davey +3 more
wiley +1 more source
Dynamics of biotic resistance to plant invasions
ABSTRACT Biotic resistance, the reduction in invasion success caused by native communities, plays an important role in the long‐term dynamics of biological invasions. A large body of empirical research on biotic resistance has accumulated since the last comprehensive review on the subject 20 years ago, enabling us to achieve a refined understanding of ...
Christine S. Sheppard +13 more
wiley +1 more source

