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pro vyhledávání: '"Barriga, Nicolas A"'
Autor:
Besoain, Felipe, Perez-Navarro, Antoni, Jacques Aviñó, Constanza, Caylà, Joan A, Barriga, Nicolas A, Garcia de Olalla, Patricia
Publikováno v:
JMIR mHealth and uHealth, Vol 8, Iss 3, p e14568 (2020)
BackgroundAdvances in the development of information and communication technologies have facilitated social and sexual interrelationships, thanks to the websites and apps created to this end. However, these resources can also encourage sexual contact
Externí odkaz:
https://doaj.org/article/d69b6e4426d8420491b1d0ae50134db6
Autor:
Schaa, Hans1 (AUTHOR) hschaa12@alumnos.utalca.cl, Barriga, Nicolas A.2 (AUTHOR) nbarriga@utalca.cl
Publikováno v:
Algorithms. Jul2024, Vol. 17 Issue 7, p307. 14p.
Videogames are nowadays one of the biggest entertainment industries in the world. Being part of this industry means competing against lots of other companies and developers, thus, making fanbases of vital importance. They are a group of clients that
Externí odkaz:
http://arxiv.org/abs/2007.07220
The quality of opponent Artificial Intelligence (AI) in fighting videogames is crucial. Some other game genres can rely on their story or visuals, but fighting games are all about the adversarial experience. In this paper, we will introduce standard
Externí odkaz:
http://arxiv.org/abs/2007.12586
A commonly used technique for managing AI complexity in real-time strategy (RTS) games is to use action and/or state abstractions. High-level abstractions can often lead to good strategic decision making, but tactical decision quality may suffer due
Externí odkaz:
http://arxiv.org/abs/1709.03480
Akademický článek
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Akademický článek
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Autor:
Barriga, Nicolas A.
This document is a thesis on the subject of single-agent on-line path planning in continuous,unpredictable and highly dynamic environments. The problem is finding and traversing a collision-free path for a holonomic robot, without kinodynamic restric
Externí odkaz:
http://arxiv.org/abs/0912.0270
Probabilistic sampling methods have become very popular to solve single-shot path planning problems. Rapidly-exploring Random Trees (RRTs) in particular have been shown to be very efficient in solving high dimensional problems. Even though several RR
Externí odkaz:
http://arxiv.org/abs/0912.0266
Probabilistic sampling methods have become very popular to solve single-shot path planning problems. Rapidly-exploring Random Trees (RRTs) in particular have been shown to be efficient in solving high dimensional problems. Even though several RRT var
Externí odkaz:
http://arxiv.org/abs/0912.0224