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Model-based Reinforcement Learning: A Survey
Foundations and Trends® in Machine Learning, 2023 Sequential decision making, commonly formalized as Markov Decision Process (MDP) optimization, is a important challenge in artificial intelligence. Two key approaches to this problem are reinforcement learning (RL) and planning. This paper presents a survey of the integration of both fields, better known as model-based reinforcement learning.
Moerland, T.M. +3 more
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World Journal on Educational Technology: Current Issues, 2017 In today's world, in order to obtain the information in education, various approaches, methods and devices have been developed. Like many developing countries, e-learning and distance learning (internet based learning) are used today in many areas of education in Turkey. This research aims to contribute to education systems and develop a 'Cihat Aşkın
Aşkın, Ali Cihat +2 more
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Memristor Models for Machine Learning [PDF]
Neural Computation, 2015 In the quest for alternatives to traditional complementary metal-oxide-semiconductor, it is being suggested that digital computing efficiency and power can be improved by matching the precision to the application. Many applications do not need the high precision that is being used today. In particular, large gains in area and power efficiency could be
Carbajal, Juan Pablo +3 more
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Arabiyatuna: Jurnal Bahasa Arab, 2021 This study aims to determine the validity of Maharatul Qira'ah learning model design by utilizing Edmodo e-learning application, and to describe the learning model and its impact on student participation.
Neli Putri, R. Rahmawati, H. Hanomi
doaj +1 more source
Learning nonlinear dynamic models
Proceedings of the 26th Annual International Conference on Machine Learning, 2009 We present a novel approach for learning nonlinear dynamic models, which leads to a new set of tools capable of solving problems that are otherwise difficult. We provide theory showing this new approach is consistent for models with long range structure, and apply the approach to motion capture and high-dimensional video data, yielding results superior
Langford, John +2 more
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Harmoni Sosial: Jurnal Pendidikan IPS, 2018 Penelitian ini bertujuan untuk membandingkan keefektifan antara model Discovery Learning dan model Problem-Based Learning dalam meningkatkan hasil belajar geografi peserta didik, ditinjau dari keterpaan media elektronik, serta mengetahui interaksi ...
Stefania Octaviana Meo +1 more
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KLF2 controls proliferation and apoptosis of human spermatogonial stem cells via targeting GJA1
iScienceSummary: Human spermatogonial stem cells (SSCs) are essential for spermatogenesis and male fertility. However, molecular mechanisms regulating fate determinations of human SSCs remain elusive.
Wei Chen +6 more
doaj +1 more source
Al-Ta'lim, 2022 This study aims to develop manipulative basic movement learning models based on tradition games at Elementary schools. Research and development method adopted from Borg and Gall was used.
Hendriana Sri Rejeki +2 more
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Penerapan Model Discovery Learning untuk Meningkatkan Hasil Belajar Matematika Siswa Kelas XI Mia 1 SMA Negeri 8 Pekanbaru [PDF]
, 2016 This research is a class action research that aims to improve the learning process and to increase the student's mathematics learning outcomes by applying Discovery Learning model.
D, Z. (Zuhri) +2 more
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Accelerating the Discovery of Steady‐States of Planetary Interior Dynamics With Machine Learning
Journal of Geophysical Research: Machine Learning and ComputationSimulating mantle convection often requires reaching a computationally expensive steady‐state, crucial for deriving scaling laws for thermal and dynamical flow properties and benchmarking numerical solutions.
Siddhant Agarwal +4 more
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