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Towards Continual Reinforcement Learning: A Review and Perspectives [article]

Khimya Khetarpal, Matthew Riemer, Irina Rish, Doina Precup
2020 arXiv   pre-print
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 by discussing our perspective on why RL is a natural fit for studying continual learning.  ...  This work originated as a class project undertaken in the graduate-level course on Continual Learning: Towards "Broad" AI (IFT-6760B) at Mila, Montreal.  ... 
arXiv:2012.13490v1 fatcat:vcleqjnpgrbkvg477d4prmzg2q

Representation Learning: A Review and New Perspectives

Y. Bengio, A. Courville, P. Vincent
2013 IEEE Transactions on Pattern Analysis and Machine Intelligence  
This paper reviews recent work in the area of unsupervised feature learning and deep learning, covering advances in probabilistic models, auto-encoders, manifold learning, and deep networks.  ...  representation learning, density estimation and manifold learning.  ...  Acknowledgments The author would like to thank David Warde-Farley, Razvan Pascanu and Ian Goodfellow for useful feedback, as well as NSERC, CIFAR and the Canada Research Chairs for funding.  ... 
doi:10.1109/tpami.2013.50 pmid:23787338 fatcat:2ozfdsn2bjaa5jwtdovszpr5xa

Graph signal processing for machine learning: A review and new perspectives [article]

Xiaowen Dong, Dorina Thanou, Laura Toni, Michael Bronstein, Pascal Frossard
2020 arXiv   pre-print
In this article, we review a few important contributions made by GSP concepts and tools, such as graph filters and transforms, to the development of novel machine learning algorithms.  ...  Furthermore, we provide new perspectives on future development of GSP techniques that may serve as a bridge between applied mathematics and signal processing on one side, and machine learning and network  ...  The novel signal processing perspective reviewed in this article has therefore both theoretical and practical significance.  ... 
arXiv:2007.16061v1 fatcat:76jhe3mhlnfkrkyjcyibmkth24

Deep Learning Theory Review: An Optimal Control and Dynamical Systems Perspective [article]

Guan-Horng Liu, Evangelos A. Theodorou
2019 arXiv   pre-print
The review aims to shed lights on the importance of dynamics and optimal control when developing deep learning theory.  ...  Our framework fits nicely with supervised learning and can be extended to other learning problems, such as Bayesian learning, adversarial training, and specific forms of meta learning, without efforts.  ...  Given this need, our objective in this paper is to review and present in a systematic way work towards the discovery of deep learning theory.  ... 
arXiv:1908.10920v2 fatcat:rimioom5ofenvdazcx2lke5gu4

Representation Learning: A Statistical Perspective

Jianwen Xie, Ruiqi Gao, Erik Nijkamp, Song-Chun Zhu, Ying Nian Wu
2019 Annual Review of Statistics and Its Application  
In this article, we review recent advances in learning representations from a statistical perspective.  ...  In particular, we review the following two themes: ( a) unsupervised learning of vector representations and ( b) learning of both vector and matrix representations.  ...  CONCLUSIONS This article reviews recent work on learning representations from a statistical perspective. We focus on unsupervised learning from unlabeled data.  ... 
doi:10.1146/annurev-statistics-031219-041131 fatcat:guvtwetgjvekreoizkhytlbw4u

Does temporal discounting explain unhealthy behavior? A systematic review and reinforcement learning perspective

Giles W. Story, Ivo Vlaev, Ben Seymour, Ara Darzi, Raymond J. Dolan
2014 Frontiers in Behavioral Neuroscience  
We propose a framework for understanding these state-based effects in terms of the interplay of two distinct reinforcement learning mechanisms: a "model-based" (or goal-directed) system and a "model-free  ...  We first systematically review studies which investigate whether discount rates can predict unhealthy behavior.  ...  Dolan, and Ara Darzi) contributed to the conception of the work. GS performed systematic review and drafted the work. All authors (Giles W. Story, Ivo Vlaev, Ben Seymour, Raymond J.  ... 
doi:10.3389/fnbeh.2014.00076 pmid:24659960 pmcid:PMC3950931 fatcat:iuuz7xwrnzew7hftu6huaw2sii

Overburdening of peer reviewers: A multi‐stakeholder perspective on causes and effects

Anna Severin, Joanna Chataway
2021 Learned Publishing  
Aiming to explore how stakeholder groups perceive reviewing burden and what they believe to be the causes of a potential overburdening of reviewers, we conducted focus groups with early-, mid-, and senior  ...  In order to alleviate reviewing burden, a holistic approach is required that addresses both the increased demand for and the insufficient supply of reviewing resources.  ...  We are also thankful to Ayden Wilson (University College London) and Michaela Strinzel (Swiss National Science Foundation) for their support in organizing the workshops.  ... 
doi:10.1002/leap.1392 fatcat:jqludiwlurag5nsmnvcjbefoxq

Ape Language Research: A Review and Behavioral Perspective

Michael D. Hixson
1998 The Analysis of Verbal Behavior  
The ape language research of the Gardners, Fouts, Terrace, Rumbaugh, and Savage-Rumbaugh is reviewed.  ...  The results indicate that apes are capable of learning small verbal repertoires in a fashion similar to that of human infants.  ...  From a behavioral perspective, Terrace showed that it was unlikely that the chimpanzees had learned many verbal units consisting of multiple signs.  ... 
doi:10.1007/bf03392921 pmid:22477125 pmcid:PMC2748629 fatcat:gxwqtfxevzggtb5s7xlg5elvwa

Process Account of Curiosity and Interest: A Reward-Learning Perspective

Kou Murayama, Lily FitzGibbon, Michiko Sakaki
2019 Educational Psychology Review  
We present a reward-learning framework of autonomous knowledge acquisition and use this framework to illustrate the importance of process account as an alternative to advance our understanding of curiosity  ...  to have a priori scientific definitions.  ...  reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.  ... 
doi:10.1007/s10648-019-09499-9 fatcat:phmqlvjbdfeovnikl6o5ubws5a

Machine Learning Model Development from a Software Engineering Perspective: A Systematic Literature Review [article]

Giuliano Lorenzoni and Paulo Alencar and Nathalia Nascimento and Donald Cowan
2021 arXiv   pre-print
Data scientists often develop machine learning models to solve a variety of problems in the industry and academy but not without facing several challenges in terms of Model Development.  ...  In this context, this paper is an effort to investigate the challenges and practices that emerge during the development of ML models from the software engineering perspective by focusing on understanding  ...  learning (SSL) and reinforcement learning (RL).  ... 
arXiv:2102.07574v1 fatcat:zxitdoe37nfsjpnsmksytrkgf4

A review of the learning and growth perspective: A new approach to labour climate

José Candela, Manuel Cardós
2009 International Journal of Management Science and Engineering Management  
It is a tool for Argyris and Schön's double loop, which brings out current management theories and compares them with the theories put forward by the management, obtaining a diagnosis for strategic learning  ...  The purpose of this paper is to establish, devise and verify empirically a model which, from an analysis of labour climate, enables feedback to be obtained on management performance with regard to motivation  ...  and time reduction; (b) deep review of the incentive and bonus system, in particular for intermediate managers; and (c) deployment of a continuous improvement system to foster managers to propose initiatives  ... 
doi:10.1080/17509653.2009.10671078 fatcat:png5qtcfgjdwlguv375lhinuca

Classifier Chains: A Review and Perspectives

Jesse Read, Bernhard Pfahringer, Geoffrey Holmes, Eibe Frank
2021 The Journal of Artificial Intelligence Research  
Given this past and ongoing interest, which covers a broad range of applications and research themes, the goal of this work is to provide a review of classifier chains, a survey of the techniques and extensions  ...  The family of methods collectively known as classifier chains has become a popular approach to multi-label learning problems.  ...  Thanks also to all five anonymous reviewers, each of whom provided important discussion and suggestions, and pointed out relevant material and references, which contributed towards the development of this  ... 
doi:10.1613/jair.1.12376 fatcat:5mlsxktkend4bhssnolkmp5y6a

Classifier Chains: A Review and Perspectives [article]

Jesse Read, Bernhard Pfahringer, Geoff Holmes, Eibe Frank
2020 arXiv   pre-print
Given this past and ongoing interest, which covers a broad range of applications and research themes, the goal of this work is to provide a review of classifier chains, a survey of the techniques and extensions  ...  The family of methods collectively known as classifier chains has become a popular approach to multi-label learning problems.  ...  Acknowledgements Thanks to Tomasz Kajdanowicz and Willem Waegeman who pointed out useful references and provided insightful discussion on classifier chains during the preparation of this paper.  ... 
arXiv:1912.13405v2 fatcat:nzpdycyj5fgrtp445sxfivzamm

Explicit knowledge and learning in SLA: A cognitive linguistics perspective

2010 AILA Review  
I conclude that explicit and implicit knowledge and learning should be considered together in order to gain a full understanding of L2 development.  ...  SLA researchers agree that explicit knowledge and learning play an important role in adult L2 development.  ...  Up to now, the role of explicit knowledge in L2 learning and teaching has scarcely been considered from a cognitive linguistics perspective, however.  ... 
doi:10.1075/aila.23.02roe fatcat:rudobczudjgcxonxaodl3do67y

Leadership and Distance Education in Higher Education: A US Perspective

Sonja Irlbeck
2002 International Review of Research in Open and Distance Learning  
The article describes leadership for distance education, historical perspectives of leading distance education, and how the Internet has directly changed distance education efforts in US higher education  ...  L'utilisation des services d'Érudit (y compris la reproduction) est assujettie à sa politique d'utilisation que vous pouvez consulter en ligne.  ...  The higher education world is changing, and opportunities created by technology coupled with the possibilities of distance education are exciting and intimidating at the same time.  ... 
doi:10.19173/irrodl.v3i2.91 fatcat:vsc255ax7fbzpduqisec44c7oe
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