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Computational Psychiatry - Neuropsychological Bayesian reinforcement learning
Published 2023“…The primary experimental task (Card Sorting) gauges one's ability to learn, via inference, the structure of some latent pattern that drives the decision making process. …”
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Trends, problems, and solutions in causality and reinforcement learning
Published 2025“…The core argument is that the RL problem can be formulated as a causal problem, where the agent is learning causal policies that maximise return (via some causal relationship implied by the policy) and does this via selecting optimal actions (performing interventions) in the environment. …”
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The contextual nature of learning in community schools in Lusaka
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Factors influencing success in adult learning on learnerships
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Mixed-Criticality Scheduling Using Reinforcement Learning
Published 2023“…With plenty of researchers approaching the schedulability of such systems with various objectives, our aim in this study is to shed light on the promising nature of emergent machine learning technologies, specifically Reinforcement Learning. …”
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The multiplicative reasoning proficiency of learners with learning difficulties
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Learning to teach : communication skills in teacher education
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Organisational learning and innovation : the study of enablers and relations
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Machine learning for antenna array failure analysis
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Multimodal one-shot learning of speech and images
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Adolescents in special schools' perceptions of their learning disabilities
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EFFECTS OF NOTE-TAKING STRATEGIES, ATTITUDINAL DIFFERENCES AND SOME PERSONALITY TRAITS ON STUDENTS' ACHIEVEMENT IN SOCIAL STUDIES
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Homework : tedious tradition or enterprising learning endeavour
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Application of machine learning with electroencephalography in seizure detection.
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Students’ assessment of open distance learning programs and services in Nigeria: a comparative description of three selected distance learning institutions
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Learner engagement in a MOOC in the Arab world: A case study analysis using the community of inquiry framework
Published 2018“…Additionally, the research included interviews with some of the learners who participated in the MOOC in order to better understand the factors they themselves attribute to their engagement or disengagement; aiming to also explore the relationship between their engagement levels and their motivations, intentions from enrolling in the MOOC and self-regulated learning strategies. …”
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