Zobrazeno 1 - 10
of 8 273
pro vyhledávání: '"A Miras"'
Traditional approaches to training agents have generally involved a single, deterministic environment of minimal complexity to solve various tasks such as robot locomotion or computer vision. However, agents trained in static environments lack genera
Externí odkaz:
http://arxiv.org/abs/2411.13072
We propose an efficient method to perform on-shell matching calculations in effective field theories. The standard off-shell approach to matching requires the use of a Green's basis that includes redundant and evanescent operators. The reduction of s
Externí odkaz:
http://arxiv.org/abs/2411.12798
We introduce here the concept of Artificial General Creatures (AGC) which encompasses "robotic or virtual agents with a wide enough range of capabilities to ensure their continued survival". With this in mind, we propose a research line aimed at incr
Externí odkaz:
http://arxiv.org/abs/2407.21357
The dynamics of phase transitions (PT) in quantum field theories at finite temperature is most accurately described within the framework of dimensional reduction. In this framework, thermodynamic quantities are computed within the 3-dimensional effec
Externí odkaz:
http://arxiv.org/abs/2406.02667
This study explores the integration of Lamarckian system into evolutionary robotics (ER), comparing it with the traditional Darwinian model across various environments. By adopting Lamarckian principles, where robots inherit learned traits, alongside
Externí odkaz:
http://arxiv.org/abs/2403.19545
Underwater docking is critical to enable the persistent operation of Autonomous Underwater Vehicles (AUVs). For this, the AUV must be capable of detecting and localizing the docking station, which is complex due to the highly dynamic undersea environ
Externí odkaz:
http://arxiv.org/abs/2311.01522
Autor:
Chantal F. Stockem, Sarah M. H. Einerhand, Isabel Miras Rodríguez, Youssra Salhi, Esther Pérez, Dimitra R. Bakaloudi, Rafee Talukder, Belen Caramelo, Rafael Morales-Barrera, Astrid De Meulenaere, Alessandro Rametta, Andrea Bottelli, Felix Lefort, Patrizia Giannatempo, Christof Vulsteke, Joan Carles, Ignacio Duran, Petros Grivas, Alfonso Gómez de Liaño, Debbie G. J. Robbrecht, Begoña P. Valderrama, Vincent van der Noort, Michiel S. van der Heijden
Publikováno v:
BJC Reports, Vol 2, Iss 1, Pp 1-8 (2024)
Abstract Background Anti-PD-(L)1 agent are approved as first- and second-line treatment options in advanced urothelial cancer (UC), but information about long-term survival is scarce. There is a need for prognostic factors, as these may help in the d
Externí odkaz:
https://doaj.org/article/567d40a068b9449d86c2a2294518a0e0
Publikováno v:
Journal of High Energy Physics, Vol 2024, Iss 10, Pp 1-26 (2024)
Abstract The dynamics of phase transitions (PT) in quantum field theories at finite temperature is most accurately described within the framework of dimensional reduction. In this framework, thermodynamic quantities are computed within the 3-dimensio
Externí odkaz:
https://doaj.org/article/1b7926acf53a409fa4121bff160ced14
The main question this paper addresses is: What combination of a robot controller and a learning method should be used, if the morphology of the learning robot is not known in advance? Our interest is rooted in the context of morphologically evolving
Externí odkaz:
http://arxiv.org/abs/2309.13908
Evolutionary robot systems offer two principal advantages: an advanced way of developing robots through evolutionary optimization and a special research platform to conduct what-if experiments regarding questions about evolution. Our study sits at th
Externí odkaz:
http://arxiv.org/abs/2309.13099