23 papers · ranked by Valyu relevance
Xiaoteng Ma, Yiqin Yang, Hao Hu, Qihan Liu + 4 more
'Chongjie Zhang' 'Qianchuan Zhao' 'Bin Liang'] Offline reinforcement learning (RL) shows promise of applying RL to real-world problems by effectively utilizing previously collected data. Most existing offline RL algorithms use regularization or constraints to suppress extrapolation error for actions outside the…
Kelum A. A. Gamage, D. M. S. C. P. K. Dehideniya, Sakunthala Y. Ekanayake, Scott D. Lane
'Sakunthala Y. Ekanayake' 'Scott D. Lane'] Personal values play a significant role when adopting learning approaches by individuals during their studies. Particularly in higher education, these values significantly influence the character that individuals play within their learning community and ultimately influence…
LEILA AFSHAR, SHAHRAM YAZDANI, SEYED ABBAS FORUTAN, HAKIMEH SABEGHI
Proper transfer of professional values is an important and essential part of medical education. Prioritizing this goal is critical for shaping the professional identity of medical students. For this purpose, medical education in all aspects and mainly in professional ethics education should try to improve a value-rich…
Ashley D. Edwards, Charles L. Isbell
Imitation by observation is an approach for learning from expert demonstrations that lack action information, such as videos. Recent approaches to this problem can be placed into two broad categories: training dynamics models that aim to predict the actions taken between states, and learning rewards or features for…
Linfeng Tony Han, Michael S. Cohen, Liqin Ken He, Laura M. Green + 3 more
One critical approach for promoting the efficiency of memory is to adopt selective encoding strategies to prioritize more valuable information. Past neuroimaging studies have shown that value-directed modulation of verbal memory depends heavily on engagement of left-lateralized semantic processing regions, particularly…
Umar Syed, Robert E. Schapire
The goal of imitation learning is for an apprentice to learn how to behave in a stochastic environment by observing a mentor demonstrating the correct behavior. Accurate prior knowledge about the correct behavior can reduce the need for demonstrations from the mentor. We present a novel approach to encoding prior…
Johannes Falck, Lei Zhang, Laurel Raffington, Johannes J. Mohn + 3 more
The hippocampal-dependent memory system and striatal-dependent memory system modulate reinforcement learning depending on feedback timing in adults, but their contributions during development remain unclear. In a 2-year longitudinal study, 6-to-7-year-old children performed a reinforcement learning task in which they…
M. Reza Heydari, Mohammad Ali Kheirkhah Ravandi, Okihide Hikosaka, Ali Ghazizadeh
Value learning can be variable for objects with the exact same reward but the underlying neural mechanism for such variability is not known. We have addressed this question by recording single-unit activity in the prefrontal cortex (PFC) and substantia nigra reticulata (SNr), two key nodes in cortex-basal ganglia…
Peter Nicklen, George Rivers, Caryn Ooi, Dragan Ilic + 4 more
'Kieran Walsh' 'Stephen Maloney' 'Helge Bruns'] Health professional education is experiencing a cultural shift towards student-centered education. Although we are now challenging our traditional training methods, our methods for evaluating the impact of the training on the learner remains largely unchanged. What is not…
Cenlan Wang, Tala Mirzaei, Tao Xu, Hui Lin
From the perspective of service science and its core concept of value co-creation, promoting learner engagement is critical for learning outcomes in a non-formal online learning environment. To promote online learning performance, we study how multidimensional learner engagement affects both instrumental and…
Stefano Palminteri, Germain Lefebvre, Emma J. Kilford, Sarah-Jayne Blakemore
Previous studies suggest that factual learning, that is learning from obtained outcomes, is biased, such that participants preferentially take into account positive, as compared to negative, prediction errors. However, whether or not the prediction error valence also affects counterfactual learning, that is, learning…
Yun‐Cheng Tsai
This paper explores the potential developments of self-directed learning in the metaverse in response to Education 4.0 and the Fourth Industrial Revolution. It highlights the importance of education keeping up with technological advancements and adopting learner-centered approaches. Additionally, it focuses on…
Yu Sun Chung, Berry van den Berg, Kenneth C. Roberts, Armen Bagdasarov + 2 more
Both adults and children learn through feedback which environmental events and choices are associated with higher probability of reward, an ability thought to be supported by the development of fronto-striatal reward circuits. Recent developmental studies have applied computational models of reward learning to…
Lisa T. Barker, Michael Meguerdichian, Katie Walker, Sarah Janssens + 4 more
'Rebecca A. Szabo' 'Connie Lopez' 'Jared W. Henricksen' 'Ben Symon'] Background Healthcare simulation services are increasingly expected to demonstrate their value-a term that remains highly context-dependent and frequently misunderstood. While traditional models such as Kirkpatrick and Phillips have supported early…
Amy D. Robertson
The importance of valuing student ideas in science education stands on firm empirical, theoretical, and moral grounds. However, the reasons for which one might value student ideas are often not explicitly distinguished, even if implicit distinctions are made in the literature. In this paper, I define and distinguish…
Yun‐Cheng Tsai
—Since the end of 2021, the Metaverse has been booming. Many unknown possibilities are gradually being realized, but many people only determined that they use Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR) in the Metaverse. It is even considered that as long as the above realities (VR, AR, MR) are…
Jeff Guo, Vendy Fialková, Juan Diego Arango, Christian Margreitter + 4 more
Reinforcement learning (RL) is a powerful paradigm that has gained popularity across multiple domains. However, applying RL may come at a cost of multiple interactions between the agent and the environment. This cost can be especially pronounced when the single feedback from the environment is slow or computationally…
Ilse Johanna Sistermans
In the current competitive and globalized economy, employers and professional organizations call for higher education institutions to deliver graduates with relevant competencies and skills. In response, a growing number of higher educational institutions is introducing competency-based education. This is particularly…
Ronald Marquez, Laura Tolosa, Ruben Gomez, Cesar Izaguirre + 3 more
The teaching-learning process in traditional university education uses strategies that position the student as a recipient of information conveyed by the teacher and conceptualized as knowledge. The reality in which we live, including the characteristics of new generational groups, requires the generation of training…
Authors not listed
Machine olfaction—the artificial replication of the sense of smell—faces significant challenges due to the absence of large, standardized training datasets. Unlike vision, language, and audio models, which benefit from extensive corpora such as ImageNet, GLUE, and AudioSet, olfaction lacks scaled equivalents and…
Reema Ajmera, Dinesh Kumar Dharamdasani
- As IT grows the impact of new technology reflects in more or less every field. Education also gets new dimensions with the advancement in IT sector. Nowadays education is not limited to books and black boards only it gets a new way i.e. electronic media. Although with e-learning, the education having broader…
Izadora Volpato Rossi, Jordana Dinorá de Lima, Bruna Sabatke, Maria Alice Ferreira Nunes + 2 more
Active teaching methodologies have been placed as a hope for changing education at different levels, transiting from passive lecture-centered to student-centered learning. With the health measures of social distance, the COVID-19 pandemic forced a strong shift to remote education. With the challenge of delivering…
Yannick Ureel, Maarten R. Dobbelaere, Yi Ouyang, Kevin De Ras + 3 more
By combining machine learning with design of experiments, so-called active machine learning, more efficient and cheaper research can be conducted. Machine learning algorithms are more flexible, and are better at investigating the processes spanning all length scales of chemical engineering. While the active machine…