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Automatic Skill Acquisition in Reinforcement Learning Using Graph Centrality Measures

Related publications (41)

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From University to Work: Alumni Viewpoints

Patrick Jermann, Helena Kovacs

Alumni studies are often overlooked in engineering education research, despite holding great potential for improving engineering programmes and creating the links that are missed when it comes to university-workplace transitions. Besides better understandi ...

NTNU SEED2023

Rogue and Trickster. Luigi Moretti, Real Estate and the Villa Triptych

Michela Bonomo

In recent times, Luigi Moretti has enjoyed a lot of success among architects and scholars, especially because of his unparalleled formal bravura. He was undoubtedly a gifted architect. In her article, Michela Bonomo goes beyond the ‘Moretti myth,’ exposing ...

2023

Opinion Formation over Adaptive Networks

Virginia Bordignon

An adaptive network consists of multiple communicating agents, equipped with sensing and learning abilities that allow them to extract meaningful information from measurements. The objective of the network is to solve a global inference problem in a decent ...

EPFL2022

Facilitators First: Building a Tool With Facilitators to Foster a More Collaborative Makerspace Community Through Movement Traces

Bertrand Roland Schneider, Léonore Valentine Guillain

Research indicates that makerspaces equip students with the practical skills needed to build their own projects and thrive in the twenty-first-century workforce. While the appeal of makerspaces lies in their spirit of tinkering and community-driven ethos, ...

ASSOC COMPUTING MACHINERY2021

True scale-free networks hidden by finite size effects

Andrea Rinaldo, Samir Suweis, Amos Maritan

We analyze about 200 naturally occurring networks with distinct dynamical origins to formally test whether the commonly assumed hypothesis of an underlying scale-free structure is generally viable. This has recently been questioned on the basis of statisti ...

NATL ACAD SCIENCES2021

Scale-dependent measure of network centrality from diffusion dynamics

Alexis Arnaudon

Classic measures of graph centrality capture distinct aspects of node importance, from the local (e.g., degree) to the global (e.g., closeness). Here we exploit the connection between diffusion and geometry to introduce a multiscale centrality measure. A n ...

AMER PHYSICAL SOC2020

Simplicity in complex networks: a path-based centrality

Nikolaos Geroliminis, Leonardo Bellocchi

Understanding travel behaviour in transportation system is key challenge to calibrate and simulate the usage of urban mobility networks. We define in this work a path-based centrality based on the simplicity of the path between two locations in road networ ...

2020

Teaching Transversal Skills in the Engineering Curriculum: the Need to Raise the Temperature

Roland John Tormey, Lucille Delisle, Helena Kovacs, Pascal Vuilliomenet, Mirjam Mekhaiel

Engineers and architects today are dealing with great social, technical and environmental complexities, and the demand for having broadly educated holistic engineers will only continue to grow in the future. Being able to manage and lead diverse teams, und ...

University of Twente2020

Systemic Risk in Networks with a Central Node

Damir Filipovic, Léo Hamed Amini

We examine the effects on a financial network of clearing all contracts though a central node (CN), thereby transforming the original network into a star-shaped one. The CN is capitalized with external equity and a guaranty fund. We introduce a structural ...

SIAM PUBLICATIONS2020

Learning Control

Sylvain Calinon

This chapter presents an overview of learning approaches for the acquisition of controllers and movement skills in humanoid robots. The term learning control refers to the process of acquiring a control strategy to achieve a task. While the definition is i ...

Springer2019