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Maximizing Learning Progress: An Internal Reward System for Development
[chapter]
2004
Lecture Notes in Computer Science
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This chapter presents a generic internal reward system that drives an agent to increase the complexity of its behavior. This reward system does not reinforce a predefined task. ...
Its purpose is to drive the agent to progress in learning given its embodiment and the environment in which it is placed. ...
Acknowledgements The authors would like to thank Luc Steels and the members of the developmental robotics team (Verena Hafner, Claire d'Este and Andrew Whyte) for precious comments on this work. ...
doi:10.1007/978-3-540-27833-7_19
fatcat:vvahfutbu5bpjhg33rqzsdmopa
Maximizing Entrepreneurship learning/training benefits
2017
Journal of finance & corporate governance
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As an educator who strives for highest quality university teaching, I do my best to create a complete immersion of my students in learning from theory, best practices, real examples and a great variety ...
A major policy implication is the need for great improvements in courses content and teaching methods. ...
At certain times, benchmarking and evaluation of progress could be useful to maximize or optimize learning and training of our students and youth. ...
doi:10.54960/jfcg.v1i1.1
fatcat:ixfozivafng7dhyogu4ndlea3a
Maximizing Learning for Students with Special needs
2005
Kappa Delta Pi Record
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A
Maximizing
Learning for Students with Special Needs by Deborah Edelman Watkins that an educator must, first and foremost, develop a relationship. ...
Such research underscores the powerful role the classroom environment can play in the development of all children's expectations for learning. ...
doi:10.1080/00228958.2005.10532062
fatcat:yd5dpbl5sjhorby4fqjtohtwze
Hindsight Expectation Maximization for Goal-conditioned Reinforcement Learning
[article]
2021
arXiv
pre-print
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We propose a graphical model framework for goal-conditioned RL, with an EM algorithm that operates on the lower bound of the RL objective. ...
The E-step provides a natural interpretation of how 'learning in hindsight' techniques, such as HER, to handle extremely sparse goal-conditioned rewards. ...
In International conference on machine learning, pages 1-9. PMLR, 2013. ...
arXiv:2006.07549v2
fatcat:p5bpmz7ktjdhnpuwjr3vmig7la
Model-Independent Online Learning for Influence Maximization
[article]
2018
arXiv
pre-print
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For this, we propose a pairwise-influence semi-bandit feedback model and develop a LinUCB-based bandit algorithm. ...
We also consider the case of a new marketer looking to exploit an existing social network, while simultaneously learning the factors governing information propagation. ...
Influence maximization in continuous time dif-
fusion networks. In 29th International Conference on
Machine Learning (ICML 2012), pp. 1-8. International
Machine Learning Society, 2012. ...
arXiv:1703.00557v2
fatcat:grvjpn2e3bathmtqrkmvr3fdya
Speed Learning: Maximizing Student Learning and Engagement in a Limited Amount of Time
2016
International Journal of Modern Education and Computer Science
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After the employment of a series of this active learning technique a survey of the students revealed an increase in student learning. ...
The active learning method employed in this study is grounded in classic pedagogies that have been developed based on various psychological theories of learning, motivation and engagement. ...
Khan, Janna Madden,"Speed Learning: Maximizing Student Learning and Engagement in a Limited Amount of Time", International Journal of Modern Education and Computer Science(IJMECS), Vol.8, No.7, pp.22-30 ...
doi:10.5815/ijmecs.2016.07.03
fatcat:gfcc4ddefjc6han2wzra6umi2q
Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference
[article]
2019
arXiv
pre-print
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proposed baselines for continual learning. ...
Lack of performance when it comes to continual learning over non-stationary distributions of data remains a major challenge in scaling neural network learning to more human realistic settings. ...
Additionally, we would like to thank Arslan Chaudhry and Marc'Aurelio Ranzato for their helpful comments and discussions. We also thank the three anonymous reviewers for their valuable suggestions. ...
arXiv:1810.11910v3
fatcat:jz53fudg7zfxvnprthdl5i6se4
Learning A La Carte: A Theory-Based Tool For Maximizing Student Engagement
2016
Journal of College Teaching & Learning (TLC)
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It is the purpose of this article to examine relevant SDT research, and utilize relatable trans-disciplinary findings in support of the discussion of a novel course development technique that maximizes ...
Imagine the difference in the class experience for students and instructors alike where there is a system in place that allows all stakeholders to have control and autonomy in the course progression. ...
rewarding, interesting, and satisfying (Ryan & Deci, 2000a) . ...
doi:10.19030/tlc.v13i2.9641
fatcat:mxtwlogiyfdihjprtas4agtaoi
Literature in language teaching: A recipe to maximize learning
2018
L1-Educational Studies in Language and Literature
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The pedagogic rationale for welcoming literature in multiple learning settings lies in the claim that it is conducive to language learning. ...
proficiency development. ...
An integrated curriculum does not preclude the development of language proficiency; on the contrary, it maximizes learning experience (Barrette, Paesani, & Vinall, 2010) . ...
doi:10.17239/l1esll-2018.18.01.09
fatcat:maoegf4jfbaubicoykd354v3mq
Online Learning with Cumulative Oversampling: Application to Budgeted Influence Maximization
[article]
2020
arXiv
pre-print
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Combining CO with the oracle we design for the offline problem, our online learning algorithm simultaneously tackles budget allocation, parameter learning, and reward maximization. ...
We propose a cumulative oversampling (CO) method for online learning. ...
The agent needs to allocate the budget to T rounds as well as learning edge weights and maximizing cumulative reward. ...
arXiv:2004.11963v3
fatcat:jw5lcpspcbbolcqrgt6tbgbnfa
Vulnerable Medical Student Ecosystems: Transdisciplinary Learning Sciences Interventions, Maximizing Student Learning and Promoting Mental Health
2021
European Journal of Social & Behavioural Sciences
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Finally, this article presents potential interventions, targeting the need for cultural change that may contribute to the creation of a more compassionate learning ecosystem to build the MS' mental resilience ...
However, the literature shows otherwise; MS suffer debilitating anxiety and depression which worsen with the progression of their studies. ...
system. ...
doi:10.15405/ejsbs.305
fatcat:gcvcbtysnnbzhlbt3fyrkvfh6q
Competence progress intrinsic motivation
2010
2010 IEEE 9th International Conference on Development and Learning
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Many researchers have suggested "intrinsically motivated" systems that receive internal reward for model learning progress, but for the most part this notion has not been applied with respect to skill ...
Internal motivation systems take the place of (or augment) the external supervisory signals ubiquitous in traditional machine learning, providing to learning mechanisms an internally-generated reward signal ...
ACKNOWLEDGMENTS Thanks to our colleagues in the Autonomous Learning Laboratory and to several anonymous reviewers for their feedback. A. ...
doi:10.1109/devlrn.2010.5578835
dblp:conf/icdl/StoutB10
fatcat:wioryiia7rcernvpesdiogymsi
Maximizing Interactivity in Online Learning: Moving Beyond Discussion Boards
2018
Journal of Educators Online
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The e-portfolio provided a way for nurses to track, share, and showcase their skills, achievements, experience, competencies, and progress in continuous learning for both themselves, as evidence of learning ...
The overarching recommendations to maximize learning for your students (and to save you time and effort) include: • Recommendation #1: Create opportunities for students to co-create and co-produce content ...
Learning Management System: • What synchronous and asynchronous tools exist within your current LMS? ...
doi:10.9743/jeo.2018.15.3.8
fatcat:jztynanqsvgypm6dg2gjtlsh2m
Analysis of options for Maximizing Local Government internally generated Revenue in Nigeria
2012
International Journal of Learning and Development
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This study examined the various options for maximizing internal revenue generation in the Nigerian local governments. ...
The study suggested feasible and pragmatic ways to maximize internal revenue generation in the local governments. ...
It is interesting to note that local government themselves are largely responsible for non-maximization of their internal revenue sources. ...
doi:10.5296/ijld.v2i5.2345
fatcat:cqtp4horsrhftb7oqdfnaaouam
Development of Student Worksheet-Based College E-Learning Through Edmodo to Maximize the Results of Learning and Motivation in Economic Mathematics Learning
2018
International Journal of Emerging Technologies in Learning (iJET)
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The objective of the study was to develop a college student worksheet using Edmodo as a learning support tool and to know the effectiveness of peer tutor learning model applied in the learning of economic ...
One class was used for the control group of 29 students; one for the exploratory group of 40 students. ...
Acknowledgment The researcher would like to thank the Departement Mathematic Education of Bina Bangsa University and Departement Riset and Teknology for giving financial support.
8 ...
doi:10.3991/ijet.v13i12.8636
fatcat:gyleea4cnvbeldrx2mpkdbmexy
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