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We study the benefit of sharing representations among tasks to enable the effective use of deep neural networks in Multi-Task Reinforcement Learning. We leverage the assumption that learning from different tasks, sharing common properties, is helpful to generalize the knowledge of them resulting in a more effective feature extraction compared to learning a single task. Intuitively, the resulting s

We introduce ImitationFlow, a novel Deep generative model that allows learning complex globally stable, stochastic, nonlinear dynamics. Our approach extends the Normalizing Flows framework to learn stable Stochastic Differential Equations. We prove the Lyapunov stability for a class of Stochastic Differential Equations and we propose a learning algorithm to learn them from a set of demonstrated tr

There is an increasing interest in Reinforcement Learning to solve new and more challenging problems, as those emerging in robotics and unmanned autonomous vehicles. To face these complex systems, a hierarchical and multi-scale representation is crucial. This has brought the interest on Hierarchical Deep Reinforcement learning systems. Despite their successful application, Deep Reinforcement Learn

ObjectiveAs part of our research on Swedish school principals, we examined the occurrence and co-occurrence of conflicts and five negative acts (i.e. harassment, sexual harassment, threats of violence or physical harm, physical violence, bullying), their attributed sources, and their associations with self-rated health, workability, and general life satisfaction among 2670 principals.ResultsDuring

Recognizing individual variability is essential for developing targeted, personalized medical interventions. Vocal fatigue is a prevalent symptom and complaint among occupational voice users, but its identification has yielded mixed results. Vocal fatigue is a complex issue with heterogeneous biophysiological responses to vocal demands among individuals. This research aims to classify individuals

Study region: The Paranapanema River Basin, located in southeastern Brazil, is characterized by a cascade of large hydropower plants regulated by a nationally coordinated dispatch system. This basin is a representative case of reservoir-regulated rivers in the country, where multiple dams interact to supply electricity while reshaping natural flow regimes. Study focus: This study examines hydropow

Against the backdrop of the ecological crisis, food production systems will need to transform to ensure future food security. There are contrasting visions of what this transformation should look like. This paper scrutinizes these competing imaginaries of future agriculture and associated styles of anticipation in Tanzania. We find that both government visions and global crop models anticipate fut

Purpose: Children with delayed reconstruction of esophageal atresia (DREA) have a high risk of morbidity. The aim of this study was to determine the prevalence of feeding difficulties in children with DREA, differences to children with primary anastomosis (PA) and identify risk factors for feeding difficulties in children with DREA. Methods: Parents of 30 children with DREA, born 2001–2018, were r

Variation enables short-term evolution (microevolution), but its role in long-term evolution (macroevolution) is debated. Here, we analyzed a dataset of Drosophila wing variation across six levels of biological organization to demonstrate that microevolutionary variation and macroevolutionary divergence are positively correlated at all levels from variation within an individual to macroevolution o

The peptide Ac-KGSFSIQYTYHVD-CONH₂ (KD), derived from residues 37–49 of human semenogelin I, forms a pH-responsive hydrogel in an aqueous environment with tunable mechanical properties that evolve over time. We hypothesize that KD self-assembles into a hydrogel through a pH-dependent mechanism involving predominantly a change in histidine protonation state, leading to structural transformations th

This study investigated the influence of habit strength and perceived social norms on Swedish residents continued use of reusable bags following the removal of the plastic bag tax. A cross-sectional survey (N = 93) measured participants’ habit strength, perception of social norms, and frequency of reusable bag usage. Descriptive statistics indicated variability in habit and social norm scores, and

Title: Rules, roles and risks- A study on occupational health and safety in the construction sector Author: Tova Westerlund Supervisor: Radhlinah Aulin Examiner: Anne Landin Aim & goal: The purpose of this report has been to investigate occupational health and safety risks in the construction sector, how responsibility roles relate to these risks, and the impact of Arbetsmiljöverkets regulatio

This thematic issue explores the complex and often controversial intersection of foster care and financial compensation. While foster care is often seen as a more inclusive and family‐oriented alternative to institutional care, the role of money in caregiving remains morally and socially sensitive. Drawing on sociological theories, particularly Viviana Zelizer’s concept of “hostile worlds,” the ar

This article puts into dialogue the concept of cultural landscape originating in Anglophone human geography with the notion of territorio coming from Latin American critical human geography. Through a case study of mangrove restoration in the Colombian Caribbean, we examine how climate change politics and policies affect unequal contexts, reshaping environmental, social, and spatial relations. We

This forum discusses and celebrates the career and impact of Jens Bartelson in and on Nordic academic International Relations. Through engagement with his central works and concepts, the contributions highlight the intellectual impact and development of Bartelson’s work over three decades.