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Reinforcement Learning In Education: A Literature Review

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The utilization of reinforcement learning (RL) within the field of education holds the potential to bring about a significant shift in the way students approach and engage with learning and how

This paper contains a literature review of Reinforcement Learning and its evolution. Reinforcement Learning is a part of Machine Learning and comprises algorithms and techniques to

Reinforcement Learning - GKTCS Innovations

Reinforcement Learning in Education: A Literature

The ML field can be further decomposed into supervised learning, unsupervised learning, semi-supervised learning, and reinforcement learning. The breakdown of the ML field

The utilization of reinforcement learning (RL) within the field of education holds the potential to bring about a significant shift in the way students approach and engage with learning and how

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Reinforcement Learning, a class of machine learning algorithms, is one of the data-driven methods. This semi-systematic literature review explores the current state of the art of

In this paper, we aim to provide an overview of the current state of research and practical applications of RL in education. We will explore various studies, methodologies, and

Reinforcement learning (RL) is a computational framework for modeling and automating goal-directed learning and sequential decision-making [1, 2]. Unlike other learning approaches,

Several subfields of reinforcement learning like deep reinforcement learning and multi-agent reinforcement learning are also expanding rapidly. This paper provides an

Abstract Reinforcement learning is a field of Machine Learning in which agents learn from interacting with the environment. These agents can deal with more complex

In this paper, a review of the literature regarding the implementation of Reinforcement Learning algorithms in the field of education is presented. Various studies that

Fahad Mon, Reinforcement learning in education: a literature review, Informatics, № 10, с. 74 DOI: 10.3390 Esser, Guided reinforcement learning a review and evaluation for efficient and

Objectives: The present study undertakes a scoping review to identify evidence showing the role of reinforcement strategies on student learning in medical education Eligibility

Deep reinforcement learning (DRL) augments the reinforcement learning framework, which learns a sequence of actions that maximizes the expected reward, with the

The use of AI technologies, such as intelligent tutoring systems, chatbots, robots, and the automated evaluation of all forms of digital artifacts that support and enhance

This study carries out a Systematic Literature Review on the use of Reinforcement Learning in object tracking between 2015 and 2023, by collecting and analyzing current trends,

  • A scoping review of reinforcement learning in education
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Among them, reinforcement learning (RL) is one of the most widely promoted methods for control and optimization problems. This paper provides a comprehensive literature review of RL in

Abstract:The utilization of reinforcement learning (RL) within the field of education holds the potential to bring about a significant shift in the way students approach and engage with

Reinforcement Learning, a sub-field of Artificial Intelligence, has attracted considerable interest and achieved notable achievements across various domains, spanning from robotics to game

Reinforcement Learning leads to autonomy in educational applications and modules where personalised, collaborative and reflective practices are deduced with agents

Bisni Fahad Mon, Asma Wasfi, Mohammad Hayajneh, Ahmad Slim, Najah Abu Ali. Research output: Contribution to journal › Article › peer-review. Dive into the research topics of

In this article, we aim to provide a literature review of different formulations and approaches to continual reinforcement learning (RL), also known as lifelong or non-stationary RL. We begin

of different areas to ensure the successful deployment of these agents within education systems. Therefore, the aim of this study was to contextualise and simulate the cumu-lative reward

This research employed the literature review method in order to identify future strategies and obstacles of incorporating generative AI into learning games in education. A

Reinforcement Learning in Education: A Literature Review. Informatics 10 (3): 74 (2023)

Reinforcement Learning in Education: A Multi-armed Bandit Approach Herkulaas MvE Combrink1(B), Vukosi Marivate1, and Benjamin Rosman2 1 Department of Computer Science,

Reinforcement Learning has been deployed successfully in diverse sectors, and the educational domain should not be an exemption. This survey discusses Reinforcement

Objectives: The present study undertakes a scoping review to identify evidence showing the role of reinforcement strategies on student learning in medical education Eligibility

A Review of Deep Reinforcement Learning for Smart Building Energy Management. IEEE Internet Things Journal (2021) B. Cunha et al. Deep Reinforcement Learning as a Job

Moreover, we conduct a keyword analysis of the literature on deep learning (DL) and reinforcement learning in order to analyze to what extent the scientific study is based on

Reinforcement Learning has gained much attention in the last decade, leading to substantial progress in Artificial Intelligence and its applications, especially in games and other

In this paper, a review of the literature regarding the implementation of Reinforcement Learning algorithms in the field of education is presented.

Based on this, we provide a systematic literature review of the RL-KG to review the existing works and present open problems and challenges for future works. We have