1,720,959 research outputs found
[POSTER] E-DIAYN: Evolution Strategies for Unsupervised Skill Discovery in Reinforcement Learning
No full textThis poster presents the work done for validating the PhD-Track of ENSEIRB-MATMECA through the proposal of E-DIAYN, an alternative to the DIAYN algorithm that utilizes Evolution Strategies rather than Soft Actor Critic. E-DIAYN is designed to take advantage of the scalability benefits of Evolution Strategies
[POSTER] E-DIAYN: Evolution Strategies for Unsupervised Skill Discovery in Reinforcement Learning
No full textThis poster presents the work done for validating the PhD-Track of ENSEIRB-MATMECA through the proposal of E-DIAYN, an alternative to the DIAYN algorithm that utilizes Evolution Strategies rather than Soft Actor Critic. E-DIAYN is designed to take advantage of the scalability benefits of Evolution Strategies
Universal Adversarial Perturbations: Efficiency on a small image dataset
Get PDFAlthough neural networks perform very well on the image classification task,
they are still vulnerable to adversarial perturbations that can fool a neural
network without visibly changing an input image. A paper has shown the
existence of Universal Adversarial Perturbations which when added to any image
will fool the neural network with a very high probability. In this paper we
will try to reproduce the experience of the Universal Adversarial Perturbations
paper, but on a smaller neural network architecture and training set, in order
to be able to study the efficiency of the computed perturbation
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
The Confusing Instance Principle for Online Linear Quadratic Control
No full textInternational audienceWe revisit the problem of controlling linear systems with quadratic costunder unknown dynamics with model-based reinforcement learning. Traditionalmethods like Optimism in the Face of Uncertainty and Thompson Sampling,rooted in multi-armed bandits (MABs), face practical limitations. Incontrast, we propose an alternative based on the ConfusingInstance (CI) principle, which underpins regret lower bounds in MABsand discrete Markov Decision Processes (MDPs) and is central to theMinimum Empirical Divergence (MED) family of algorithms, known fortheir asymptotic optimality in various settings. By leveraging thestructure of LQR policies along with sensitivity and stability analysis, wedevelop MED-LQ. This novel control strategy extends theprinciples of CI and MED beyond small-scale settings. Our benchmarks on acomprehensive control suite demonstrate that MED-LQ achievescompetitive performance in various scenarios while highlighting itspotential for broader applications in large-scale MDPs
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