Zobrazeno 1 - 10
of 2 094
pro vyhledávání: '"A. Meneguzzi"'
Some imitation learning methods combine behavioural cloning with self-supervision to infer actions from state pairs. However, most rely on a large number of expert trajectories to increase generalisation and human intervention to capture key aspects
Externí odkaz:
http://arxiv.org/abs/2407.04856
Imitation learning is an approach in which an agent learns how to execute a task by trying to mimic how one or more teachers perform it. This learning approach offers a compromise between the time it takes to learn a new task and the effort needed to
Externí odkaz:
http://arxiv.org/abs/2404.19456
Goal Recognition is the task by which an observer aims to discern the goals that correspond to plans that comply with the perceived behavior of subject agents given as a sequence of observations. Research on Goal Recognition as Planning encompasses r
Externí odkaz:
http://arxiv.org/abs/2404.07934
Publikováno v:
Scientific Electronic Archives, Vol 11, Iss 5, Pp 47-53 (2018)
Micropropagation protocol success clearly depends on the establishment and initial development in vitro. Following steps can only be performed after obtaining of aseptic cultures endowed with good plant vigor. This study aimed to evaluate different c
Externí odkaz:
https://doaj.org/article/e11a78c5ae9a4cd3b700629b853ec48c
While recent work on online goal recognition efficiently infers goals under low observability, comparatively less work focuses on online goal recognition that works in both discrete and continuous domains. Online goal recognition approaches often rel
Externí odkaz:
http://arxiv.org/abs/2307.07876
Goal Recognition is the task of discerning the correct intended goal that an agent aims to achieve, given a set of goal hypotheses, a domain model, and a sequence of observations (i.e., a sample of the plan executed in the environment). Existing appr
Externí odkaz:
http://arxiv.org/abs/2306.08680
Behavioural cloning is an imitation learning technique that teaches an agent how to behave via expert demonstrations. Recent approaches use self-supervision of fully-observable unlabelled snapshots of the states to decode state pairs into actions. Ho
Externí odkaz:
http://arxiv.org/abs/2304.10914
Hierarchical Task Networks (HTN) planners generate plans using a decomposition process with extra domain knowledge to guide search towards a planning task. While domain experts develop HTN descriptions, they may repeatedly describe the same precondit
Externí odkaz:
http://arxiv.org/abs/2207.00345
Autor:
Gaire, Tara N., Odland, Carissa, Zhang, Bingzhou, Slizovskiy, Ilya, Jorgenson, Blake, Wehri, Thomas, Meneguzzi, Mariana, Wass, Britta, Schuld, Jenna, Hanson, Dan, Doster, Enrique, Singer, Jacob, Cannon, Jerry, Asmus, Aaron, Ray, Tui, Dee, Scott, Nerem, Joel, Davies, Peter, Noyes, Noelle R.
Publikováno v:
In Science of the Total Environment 10 October 2024 946
Autor:
Eliziane Cappelin, Daiane Meneguzzi, Diogo Henrique Hendges, Tatiane Luiza Cadorin Oldoni, Marina Leite Mitterer Daltoé, Marcelo Luis Kuhn Marchioro, Mario Antônio Alves da Cunha
Publikováno v:
Electronic Journal of Biotechnology, Vol 68, Iss , Pp 81-89 (2024)
Background: Beer is the most consumed alcoholic beverage globally, and the demand for differentiated beers with peculiar characteristics has intensified among beer consumers, creating a significant market niche. In this study, we developed a low alco
Externí odkaz:
https://doaj.org/article/7278eb00b9684650995279b1de2df768