Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Rodrigues, Odinaldo"'
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
Imitation learning field requires expert data to train agents in a task. Most often, this learning approach suffers from the absence of available data, which results in techniques being tested on its dataset. Creating datasets is a cumbersome process
Externí odkaz:
http://arxiv.org/abs/2403.00550
As algorithmic decision-making systems become more prevalent in society, ensuring the fairness of these systems is becoming increasingly important. Whilst there has been substantial research in building fair algorithmic decision-making systems, the m
Externí odkaz:
http://arxiv.org/abs/2310.16506
Bias mitigation methods for binary classification decision-making systems have been widely researched due to the ever-growing importance of designing fair machine learning processes that are impartial and do not discriminate against individuals or gr
Externí odkaz:
http://arxiv.org/abs/2305.20020
Knowledge Graphs are repositories of information that gather data from a multitude of domains and sources in the form of semantic triples, serving as a source of structured data for various crucial applications in the modern web landscape, from Wikip
Externí odkaz:
http://arxiv.org/abs/2210.14846
Knowledge bases such as Wikidata amass vast amounts of named entity information, such as multilingual labels, which can be extremely useful for various multilingual and cross-lingual applications. However, such labels are not guaranteed to match acro
Externí odkaz:
http://arxiv.org/abs/2206.08709
Data verbalisation is a task of great importance in the current field of natural language processing, as there is great benefit in the transformation of our abundant structured and semi-structured data into human-readable formats. Verbalising Knowled
Externí odkaz:
http://arxiv.org/abs/2205.02627
Autor:
Amaral, Gabriel, Piscopo, Alessandro, Kaffee, Lucie-Aimée, Rodrigues, Odinaldo, Simperl, Elena
Wikidata is one of the most important sources of structured data on the web, built by a worldwide community of volunteers. As a secondary source, its contents must be backed by credible references; this is particularly important as Wikidata explicitl
Externí odkaz:
http://arxiv.org/abs/2109.09405
We express Brewka's prioritised default logic (PDL) as argumentation using ASPIC+. By representing PDL as argumentation and designing an argument preference relation that takes the argument structure into account, we prove that the conclusions of the
Externí odkaz:
http://arxiv.org/abs/1609.05224