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Learning Reward Machines: A Study in Partially Observable Reinforcement Learning
(2023)
Reinforcement Learning (RL) is a machine learning paradigm wherein an artificial agentinteracts with an environment with the purpose of learning behaviour that maximizesthe expected cumulative reward it receives from the ...
Problem-based learning proposal for teaching dynamical systems
Dynamic systems, in general, and discrete dynamic systems based on iterative methods, in particular, have several features that can be exploited: they can be performed by computation and there are graphical tools ready to ...
Mapping Knowledge Produced on Problem-Based Learning between 1945 and 2014: A Bibliometric Analysis
(Scientific Research Publishing, 2016)
Teaching mathematics through problem solving
(Revista Innovación Educativa num. 62, 2013-08-01)
The purpose and contribution of this paper is to explore and discuss
how project-based learning (pbl), a general instructional strategy that
can be used in numerous core content areas, can be integrated with
teaching ...
Virtual learning environment: Learning from ethics in the performance of the Statutory Auditor, a reflection from the Problem-based learningAmbientes virtuales de aprendizaje: Aprendiendo de ética en el ejercicio de la Revisoría Fiscal, una reflexión desde el Aprendizaje Basado en problemas
(Universidad Militar Nueva Granada, 2016)
"The Effect of Problem-Based Learning on Metacognitive Ability in the Conjecturing Process of Junior High School Students"
(Hindawi LimitedGB, 2022-06-12)
This study aimed to analyze the effect of problem-based learning on metacognitive abilities in the conjecturing process of junior
high school students. To reach this purpose, a mixed-methods design, which is a combination ...