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Akademický článek
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Autor:
Gonçalves, Ricardo Antonio
A família Zodariidae apresenta 85 gêneros e 1141 espécies descritas atualmente no mundo. Aranhas desta família ocorrem em todas as regiões tropicais e subtropicais da América do Sul, África, Madagascar, Austrália, Nova Guiné, Nova Zelândia,
Learning from Demonstrations (LfD) and Reinforcement Learning (RL) have enabled robot agents to accomplish complex tasks. Reward Machines (RMs) enhance RL's capability to train policies over extended time horizons by structuring high-level task infor
Externí odkaz:
http://arxiv.org/abs/2412.10096
Autor:
Leitch, Samuel G., Ahmed, Qasim Zeeshan, Van Herbruggen, Ben, Baert, Mathias, Fontaine, Jaron, De Poorter, Eli, Shahid, Adnan, Lazaridis, Pavlos I.
One significant challenge in research is to collect a large amount of data and learn the underlying relationship between the input and the output variables. This paper outlines the process of collecting and validating a dataset designed to determine
Externí odkaz:
http://arxiv.org/abs/2412.01767
Autor:
JOCQUÉ, Rudy1 jocque@africamuseum.be, BAERT, Léon2 leonbaert@hotmail.com
Publikováno v:
Bulletin De La Societe Royale Belge d'Etomologie. 2021, Vol. 157 Issue 2/3, p203-203. 1p.
Autor:
Baert, Kelian, Bharadwaj, Shrisha, Castan, Fabien, Maujean, Benoit, Christie, Marc, Abrevaya, Victoria, Boukhayma, Adnane
Publikováno v:
SIGGRAPH Asia 2024 Conference Papers (SA Conference Papers '24), December 3-6, 2024, Tokyo, Japan
Feedforward monocular face capture methods seek to reconstruct posed faces from a single image of a person. Current state of the art approaches have the ability to regress parametric 3D face models in real-time across a wide range of identities, ligh
Externí odkaz:
http://arxiv.org/abs/2409.07984
Specifying tasks for robotic systems traditionally requires coding expertise, deep domain knowledge, and significant time investment. While learning from demonstration offers a promising alternative, existing methods often struggle with tasks of long
Externí odkaz:
http://arxiv.org/abs/2409.07091
Autor:
Dickason, Kathryn
Publikováno v:
Speculum, 2020 Apr 01. 95(2), 507-509.
Externí odkaz:
https://www.jstor.org/stable/48735090
Is the EJRA proportionate and therefore justified? A critical review of the EJRA policy at Cambridge
Autor:
Linton, Oliver, Rau, Raghavendra, Baert, Patrick, Bossaerts, Peter, Crowcroft, Jon, Evans, G. R., Ewart, Paul, Gay, Nick, Kattuman, Paul, Scholtes, Stefan, Sabourian, Hamid, Smith, Richard J.
This paper critically evaluates the HESA (Higher Education Statistics Agency) Data Report for the Employer Justified Retirement Age (EJRA) Review Group at the University of Cambridge (\cite{CambridgeHESA2024}), identifying significant methodological
Externí odkaz:
http://arxiv.org/abs/2405.14611