Concept

Strategy video game

Related publications (14)

Gamified Motor Training With Tangible Robots in Older Adults: A Feasibility Study and Comparison With the Young

Pierre Dillenbourg, Friedhelm Christoph Hummel, Wafa Monia Benkaouar Johal, Maximilian Jonas Wessel, Ayberk Özgür, Jennifer Kaitlyn Olsen

Background: An increasing lifespan and the resulting change in our expectations of later life stages are dependent on a good health state. This emphasizes the importance of the development of strategies to further strengthen healthy aging. One important as ...

2020

COVID-19 epidemic in Switzerland: on the importance of testing, contact tracing and isolation

Switzerland is among the countries with the highest number of coronavirus disease-2019 (COVID-19) cases per capita in the world. There are likely many people with undetected SARS-CoV-2 infection because testing efforts are currently not detecting all infec ...

2020

No-Regret Learning from Partially Observed Data in Repeated Auctions

Maryam Kamgarpour, Orcun Karaca

We study a general class of repeated auctions, such as the ones found in electricity markets, as multi-agent games between the bidders. In such a repeated setting, bidders can adapt their strategies online using no-regret algorithms based on the data obser ...

2020

Renormalizing individual performance metrics for cultural heritage management of sports records

Orion B Penner

Individual performance metrics are commonly used to compare players from different eras. However, such cross-era comparison is often biased due to significant changes in success factors underlying player achievement rates (e.g. performance enhancing drugs ...

PERGAMON-ELSEVIER SCIENCE LTD2020

On heterogeneous coupling of multiscale methods for problems with and without scale separation

Assyr Abdulle

In this paper we discuss partial differential equations with multiple scales for which scale resolution are needed in some subregions, while a separation of scale and numerical homogenization is possible in the remaining part of the computational domain. D ...

2017

MATHICSE Technical Report : On heterogeneous coupling of multiscale methods for problems with and without scale separation

Assyr Abdulle

MATHICSE2016

A new Mathematical Framework to Understand Single Neuron Computations

Skander Mensi

An important feature of the nervous system is its ability to adapt to new stimuli. This adaptation allows for optimal encoding of the incoming information by dynamically changing the coding strategy based upon the incoming inputs to the neuron. At the leve ...

EPFL2014

Transfer in Inverse Reinforcement Learning for Multiple Strategies

Aude Billard, Ajay Kumar Tanwani

We consider the problem of incrementally learning different strategies of performing a complex sequential task from multiple demonstrations of an expert or a set of experts. While the task is the same, each expert differs in his/her way of performing it. W ...

2013

Transfer in Inverse Reinforcement Learning for Multiple Strategies

Aude Billard, Ajay Kumar Tanwani

Ieee2013

Reduced-Dimension Linear Transform Coding of Correlated Signals in Networks

Michael Christoph Gastpar, Naveen Goela

A model called the linear transform network (LTN) is proposed to analyze the compression and estimation of correlated signals transmitted over directed acyclic graphs (DAGs). An LTN is a DAG network with multiple source and receiver nodes. Source nodes tra ...

Institute of Electrical and Electronics Engineers2012

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