Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Luis Soares Barbosa"'
Publikováno v:
IEEE Transactions on Quantum Engineering, Vol 5, Pp 1-11 (2024)
This article delves into the role of the quantum Fisher information matrix (FIM) in enhancing the performance of parameterized quantum circuit (PQC)-based reinforcement learning agents. While previous studies have highlighted the effectiveness of PQC
Externí odkaz:
https://doaj.org/article/e5050aba5e83488686c7b85f3d802c6c
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 3, p 035037 (2024)
This research explores the trainability of Parameterized Quantum Circuit-based policies in Reinforcement Learning, an area that has recently seen a surge in empirical exploration. While some studies suggest improved sample complexity using quantum gr
Externí odkaz:
https://doaj.org/article/e73ce4fb161543efacc5d59b27b541e3
Publikováno v:
IEEE Access, Vol 9, Pp 125416-125427 (2021)
Reinforcement Learning is at the core of a recent revolution in Artificial Intelligence. Simultaneously, we are witnessing the emergence of a new field: Quantum Machine Learning. In the context of these two major developments, this work addresses the
Externí odkaz:
https://doaj.org/article/4c86c24cc6cf40f9bc7a67baed18eb69
Publikováno v:
Mathematics, Vol 9, Iss 3, p 272 (2021)
The coalgebraic method is of great significance to research in process algebra, modal logic, object-oriented design and component-based software engineering. In recent years, fuzzy control has been widely used in many fields, such as handwriting reco
Externí odkaz:
https://doaj.org/article/ef67ab061c4542c3ac1957451dd996b1
Autor:
Nuno Oliveira, Luis Soares Barbosa
Publikováno v:
Electronic Proceedings in Theoretical Computer Science, Vol 228, Iss Proc. iFMCloud 2016, Pp 35-45 (2016)
Applications developed over the cloud coordinate several, often anonymous, computational resources, distributed over different execution nodes, within flexible architectures. Coordination models able to represent quantitative data provide a powerful
Externí odkaz:
https://doaj.org/article/2a2b5e4c46e64c27802c682f0a03f3ff
This paper introduces a class of automata and associated languages, suitable to model a computational paradigm of fuzzy systems, in which both vagueness and simultaneity are taken as first-class citizens. This requires a weighted semantics for transi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2c7ede55f0f0ecbe1ae4bdb8fb84490
http://hdl.handle.net/10773/36735
http://hdl.handle.net/10773/36735
Variational quantum circuits are being used as versatile quantum machine learning models. Some empirical results exhibit an advantage in supervised and generative learning tasks. However, when applied to reinforcement learning, less is known. In this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98d33981d388a964541741a1abc1bce3
http://arxiv.org/abs/2203.10591
http://arxiv.org/abs/2203.10591
Autor:
Luís Soares Barbosa, Alexandru Baltag
This book constitutes the proceedings of the Second International Workshop on Dynamic Logic, DALI 2019, held in Porto, Portugal in October 2019. The workshop was held in Porto, Portugal, on October 9, 2019, as part of the Formal Methods Week which ho
Publikováno v:
2017 IEEE/ACM 5th International FME Workshop on Formal Methods in Software Engineering (FormaliSE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79b2944382425db82088abc810d9868f
https://doi.org/10.1109/formalise.2017.8
https://doi.org/10.1109/formalise.2017.8
This book constitutes the proceedings of the 16th Brazililan Symposium on Programming Languages, SBLP 2012, held in Natal, Brazil, in September 2012. The 10 full and 2 short papers were carefully reviewed and selected from 27 submissions. The papers