Zobrazeno 1 - 10
of 3 227
pro vyhledávání: '"A. Senne"'
With Deep Reinforcement Learning (DRL) being increasingly considered for the control of real-world systems, the lack of transparency of the neural network at the core of RL becomes a concern. Programmatic Reinforcement Learning (PRL) is able to to cr
Externí odkaz:
http://arxiv.org/abs/2410.21940
Autor:
Trappeniers, Senne
We develop a Lazard correspondence between post-Lie rings and skew braces that satisfy a natural completeness condition. This is done through a thorough study of how the Lazard correspondence behaves on semi-direct sums of Lie rings. In particular, f
Externí odkaz:
http://arxiv.org/abs/2406.02475
The quantum Yang-Baxter equation is a braiding condition on vector spaces which is of high relevance in several fields of mathematics, such as knot theory and quantum group theory. Their combinatorial counterpart are set-theoretic solutions to the Ya
Externí odkaz:
http://arxiv.org/abs/2403.18653
Constraint Programming (CP) has been successfully used to model and solve complex combinatorial problems. However, modeling is often not trivial and requires expertise, which is a bottleneck to wider adoption. In Constraint Acquisition (CA), the goal
Externí odkaz:
http://arxiv.org/abs/2312.10795
Publikováno v:
BMC Health Services Research, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background The composition of care teams is crucial for delivering patient-centered healthcare, yet assembling a well-balanced team remains a challenge. This difficulty stems from the intricate dynamics of team capacity, culture, context, an
Externí odkaz:
https://doaj.org/article/88109ff775c341f2a91ab8977c4d2312
Autor:
Mandi, Jayanta, Kotary, James, Berden, Senne, Mulamba, Maxime, Bucarey, Victor, Guns, Tias, Fioretto, Ferdinando
Publikováno v:
Journal of Artificial Intelligence Research 81 (2024) 1623-1701
Decision-focused learning (DFL) is an emerging paradigm that integrates machine learning (ML) and constrained optimization to enhance decision quality by training ML models in an end-to-end system. This approach shows significant potential to revolut
Externí odkaz:
http://arxiv.org/abs/2307.13565
Constraint Acquisition (CA) systems can be used to assist in the modeling of constraint satisfaction problems. In (inter)active CA, the system is given a set of candidate constraints and posts queries to the user with the goal of finding the right co
Externí odkaz:
http://arxiv.org/abs/2307.06126
Autor:
Silvestri, Mattia, Berden, Senne, Mandi, Jayanta, Mahmutoğulları, Ali İrfan, Amos, Brandon, Guns, Tias, Lombardi, Michele
Many real-world optimization problems contain parameters that are unknown before deployment time, either due to stochasticity or to lack of information (e.g., demand or travel times in delivery problems). A common strategy in such cases is to estimat
Externí odkaz:
http://arxiv.org/abs/2307.05213
Autor:
Ignoul, Senne
Integrable Hamiltonian systems on symplectic manifolds have been well-studied. However, an intrinsic property of these kind of systems is that they can only live on even dimensional manifolds. To introduce a similar notion of integrability on odd dim
Externí odkaz:
http://arxiv.org/abs/2305.03553
Autor:
Kuroswiski, André Rossi, Pires, Humberto Baldessarini, Passaro, Angelo, Frutuoso, Lamartine Nogueira, Senne, Edson Luiz França
The increasing use of drones to perform various tasks has motivated an exponential growth of research aimed at optimizing the use of these means, benefiting both military and civilian applications, including logistics delivery. In this sense, the com
Externí odkaz:
http://arxiv.org/abs/2304.13832