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Institution

Bielefeld University

EducationBielefeld, Nordrhein-Westfalen, Germany
About: Bielefeld University is a education organization based out in Bielefeld, Nordrhein-Westfalen, Germany. It is known for research contribution in the topics: Population & Quantum chromodynamics. The organization has 10123 authors who have published 26576 publications receiving 728250 citations. The organization is also known as: University of Bielefeld & UNIVERSITAET BIELEFELD.


Papers
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Journal ArticleDOI
Jeffrey D. Stanaway1, Ashkan Afshin1, Emmanuela Gakidou1, Stephen S Lim1  +1050 moreInstitutions (346)
TL;DR: This study estimated levels and trends in exposure, attributable deaths, and attributable disability-adjusted life-years (DALYs) by age group, sex, year, and location for 84 behavioural, environmental and occupational, and metabolic risks or groups of risks from 1990 to 2017 and explored the relationship between development and risk exposure.

2,910 citations

Journal ArticleDOI
Bin Zhou1, Yuan Lu2, Kaveh Hajifathalian2, James Bentham1  +494 moreInstitutions (170)
TL;DR: In this article, the authors used a Bayesian hierarchical model to estimate trends in diabetes prevalence, defined as fasting plasma glucose of 7.0 mmol/L or higher, or history of diagnosis with diabetes, or use of insulin or oral hypoglycaemic drugs in 200 countries and territories in 21 regions, by sex and from 1980 to 2014.

2,782 citations

Journal ArticleDOI
TL;DR: In this article, a new method for evaluating one-particle coupling coefficients in general configuration interaction calculation is presented, through repeated application and use of resolutions of the identity, two-, three-and four-body coupling coefficients and density matrices may be built in a simple and efficient way.

2,455 citations

Journal ArticleDOI
TL;DR: In this paper, the temperature dependence of the screening radius, as obtained from lattice QCD, is compared with the J/ψ radius calculated in charmomium models, and the feasibility to detect this effect clearly in the dilepton mass spectrum is examined.

2,416 citations

Journal ArticleDOI
TL;DR: This article attempts to strengthen the links between the two research communities by providing a survey of work in reinforcement learning for behavior generation in robots by highlighting both key challenges in robot reinforcement learning as well as notable successes.
Abstract: Reinforcement learning offers to robotics a framework and set of tools for the design of sophisticated and hard-to-engineer behaviors. Conversely, the challenges of robotic problems provide both inspiration, impact, and validation for developments in reinforcement learning. The relationship between disciplines has sufficient promise to be likened to that between physics and mathematics. In this article, we attempt to strengthen the links between the two research communities by providing a survey of work in reinforcement learning for behavior generation in robots. We highlight both key challenges in robot reinforcement learning as well as notable successes. We discuss how contributions tamed the complexity of the domain and study the role of algorithms, representations, and prior knowledge in achieving these successes. As a result, a particular focus of our paper lies on the choice between model-based and model-free as well as between value-function-based and policy-search methods. By analyzing a simple problem in some detail we demonstrate how reinforcement learning approaches may be profitably applied, and we note throughout open questions and the tremendous potential for future research.

2,391 citations


Authors

Showing all 10375 results

NameH-indexPapersCitations
Stefan Grimme113680105087
Alfred Pühler10265845871
James Barber10264242397
Swagata Mukherjee101104846234
Hans-Joachim Werner9831748508
Krzysztof Redlich9860932693
Graham C. Walker9338136875
Christian Meyer93108138149
Muhammad Farooq92134137533
Jean Willy Andre Cleymans9054227685
Bernhard T. Baune9060850706
Martin Wikelski8942025821
Niklas Luhmann8542142743
Achim Müller8592635874
Oliver T. Wolf8333724211
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023150
2022511
20211,696
20201,655
20191,410
20181,299