Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Tasos Papagiannis"'
Autor:
Georgios Alexandridis, Georgios Siolas, Tasos Papagiannis, George Ioannou, Konstantinos Michalakis, George Caridakis, Vasileios Karyotis, Symeon Papavassiliou
Publikováno v:
Digital, Vol 4, Iss 3, Pp 676-697 (2024)
Identifying and understanding visitor needs and expectations is of the utmost importance for a number of stakeholders and policymakers involved in the touristic domain. Apart from traditional forms of feedback, an abundance of related information exi
Externí odkaz:
https://doaj.org/article/ae05f5ff969b4dacbb4c1f4759fc0d7a
Publikováno v:
Applied Sciences, Vol 14, Iss 1, p 330 (2023)
Data augmentation is a promising technique in improving exploration and convergence speed in deep reinforcement learning methodologies. In this work, we propose a data augmentation framework based on generative models for creating completely novel st
Externí odkaz:
https://doaj.org/article/ce4409dee9f44e1c962a69d68b840fd9
Publikováno v:
Mathematics, Vol 10, Iss 9, p 1509 (2022)
Monte Carlo Tree Search has proved to be very efficient in the broad domain of Game AI, though it suffers from high dimensionality in cases of large branching factors. Several pruning techniques have been proposed to tackle this problem, most of whic
Externí odkaz:
https://doaj.org/article/65ef2b4358df4ddcb789ebfc925d5a1e
Publikováno v:
FDG '22: Proceedings of the 17th International Conference on the Foundations of Digital Games.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87ffd655d369038a2e81570efd59612e
https://doi.org/10.1145/3555858.3555914
https://doi.org/10.1145/3555858.3555914
Autor:
Antonios Papaoikonomou, James Wingate, Vasudha Verma, Aiden Durrant, George Ioannou, Tasos Papagiannis, Miao Yu, Georgios Alexandridis, Abdelhamid Dokhane, Georgios Leontidis, Stefanos Kollias, Andreas Stafylopatis
Publikováno v:
Annals of Nuclear Energy. 178:109373
The use of machine learning in the field of reactor safety and noise diagnostics has recently seen great potential given the advancements made in computational tools, hardware and noise simulations. In this work we demonstrate howdeep neural networks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::604e4d536607842271f992a2a21de65a
https://doi.org/10.1016/j.anucene.2022.109373
https://doi.org/10.1016/j.anucene.2022.109373
Autor:
Georgios Alexandridis, George Ioannou, Tasos Papagiannis, Andreas Stafylopatis, Thanos Tagaris
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bfcf9b46d5eb765fe5928841a59b95a
https://doi.org/10.1109/iccvw54120.2021.00058
https://doi.org/10.1109/iccvw54120.2021.00058
Publikováno v:
ICMLA
Collectible card games are an interesting testing ground for artificial intelligence algorithms, mainly because of their stochasticity and high branching factor. In this work, the performance of a monte carlo tree search-based agent, enhanced with a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a864baa74b5d497a3821cd0036d446ff
https://doi.org/10.1109/icmla51294.2020.00034
https://doi.org/10.1109/icmla51294.2020.00034
Publikováno v:
Applications of Evolutionary Computation ISBN: 9783030166915
EvoApplications
EvoApplications
Genetic Algorithms (GAs) have been predominantly used in video games for finding the best possible sequence of actions that leads to a win condition. This work sets out to investigate an alternative application of GAs on action-adventure type video g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8daf830e9570861ef800ffc86d256e59
https://doi.org/10.1007/978-3-030-16692-2_11
https://doi.org/10.1007/978-3-030-16692-2_11
