Zobrazeno 1 - 10
of 272
pro vyhledávání: '"Mesejo, P."'
In recent years, the integration of Automated Planning (AP) and Reinforcement Learning (RL) has seen a surge of interest. To perform this integration, a general framework for Sequential Decision Making (SDM) would prove immensely useful, as it would
Externí odkaz:
http://arxiv.org/abs/2310.02167
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract In citrus, the synthetic auxin 3,5,6-trichloro-2-pyridyloxyacetic acid (3,5,6-TPA), applied as a foliar spray at a concentration of 15 mg l− 1 during physiological fruitlet abscission, caused additional fruitlet drop and reduced the number
Externí odkaz:
https://doaj.org/article/887b4e65d2ec41689931c35c70e2733b
In recent years, there has been growing interest in utilizing modern machine learning techniques to learn heuristic functions for forward search algorithms. Despite this, there has been little theoretical understanding of what they should learn, how
Externí odkaz:
http://arxiv.org/abs/2308.11905
Publikováno v:
Carlos N\'u\~nez Molina, Pablo Mesejo, & Juan Fern\'andez-Olivares. (2024). A review of symbolic, subsymbolic and hybrid methods for sequential decision making. ACM Computing Surveys, 56(11), Article 272, 1-36
In the field of Sequential Decision Making (SDM), two paradigms have historically vied for supremacy: Automated Planning (AP) and Reinforcement Learning (RL). In the spirit of reconciliation, this article reviews AP, RL and hybrid methods (e.g., nove
Externí odkaz:
http://arxiv.org/abs/2304.10590
Semantic segmentation is one of the most challenging tasks in computer vision. However, in many applications, a frequent obstacle is the lack of labeled images, due to the high cost of pixel-level labeling. In this scenario, it makes sense to approac
Externí odkaz:
http://arxiv.org/abs/2302.09899
In the field of Automated Planning there is often the need for a set of planning problems from a particular domain, e.g., to be used as training data for Machine Learning or as benchmarks in planning competitions. In most cases, these problems are cr
Externí odkaz:
http://arxiv.org/abs/2301.10280
Publikováno v:
IEEE Transactions on Evolutionary Computationm, 2022, https://ieeexplore.ieee.org/document/9943992/
Computer vision (CV) is a big and important field in artificial intelligence covering a wide range of applications. Image analysis is a major task in CV aiming to extract, analyse and understand the visual content of images. However, image-related ta
Externí odkaz:
http://arxiv.org/abs/2209.06399
In this work, we propose a novel architecture for face age editing that can produce structural modifications while maintaining relevant details present in the original image. We disentangle the style and content of the input image and propose a new d
Externí odkaz:
http://arxiv.org/abs/2207.11025
Visual voice activity detection (V-VAD) uses visual features to predict whether a person is speaking or not. V-VAD is useful whenever audio VAD (A-VAD) is inefficient either because the acoustic signal is difficult to analyze or because it is simply
Externí odkaz:
http://arxiv.org/abs/2009.11204
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.