Zobrazeno 1 - 10
of 114
pro vyhledávání: '"Giovanni Iacca"'
Publikováno v:
IEEE Access, Vol 12, Pp 46626-46635 (2024)
Multi-goal reinforcement learning (RL) with sparse rewards poses a significant challenge for RL methods. Hindsight experience replay (HER) addresses this challenge by learning from failures and replacing the desired goals with achieved states. Howeve
Externí odkaz:
https://doaj.org/article/153e962961bf4f6e8de84d99a3a96b73
Autor:
Leonardo L. Custode, Giovanni Iacca
Publikováno v:
IEEE Access, Vol 11, Pp 6169-6184 (2023)
In the last decade, reinforcement learning (RL) has been used to solve several tasks with human-level performance. However, there is a growing demand for interpretable RL, i.e., there is the need to understand how a RL agent works and the rationale o
Externí odkaz:
https://doaj.org/article/e2cac44a8e574a87a19556f2b3b8686a
Autor:
Alex Bojeri, Giovanni Iacca
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 27, Iss 1, Pp 18-26 (2020)
In recent years, the advent of new hardware and software technologies for navigation and control has made Unmanned Aerial Vehicles (UAVs) ever more autonomous and efficient. As a consequence, it is now possible to have drones moving within complex en
Externí odkaz:
https://doaj.org/article/c0a538f8b6dd4390a9f2be37864453c5
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 27, Iss 1, Pp 164-171 (2020)
Predicting accurate remaining useful life (RUL) of components plays a crucial role in making optimal decision for maintenance management. As sensor technology developed, multiple heterogeneous sensors are being used to collect information for monitor
Externí odkaz:
https://doaj.org/article/70d466b02da34b398bd76905336b58f0
Publikováno v:
Algorithms, Vol 15, Iss 3, p 98 (2022)
Remaining useful life (RUL) prediction is a key enabler for predictive maintenance. In fact, the possibility of accurately and reliably predicting the RUL of a system, based on a record of its monitoring data, can allow users to schedule maintenance
Externí odkaz:
https://doaj.org/article/39ecf9505ddc40cfb6aa2d829a1fdebf
Autor:
Fabio Caraffini, Giovanni Iacca
Publikováno v:
Mathematics, Vol 8, Iss 5, p 785 (2020)
We present Stochastic Optimisation Software (SOS), a Java platform facilitating the algorithmic design process and the evaluation of metaheuristic optimisation algorithms. SOS reduces the burden of coding miscellaneous methods for dealing with severa
Externí odkaz:
https://doaj.org/article/ed8c8e0c791d448992fe756823e0ade6
Autor:
Andrea Ferigo, Giovanni Iacca
Publikováno v:
Mathematics, Vol 8, Iss 5, p 758 (2020)
The ever-increasing complexity of industrial and engineering problems poses nowadays a number of optimization problems characterized by thousands, if not millions, of variables. For instance, very large-scale problems can be found in chemical and mat
Externí odkaz:
https://doaj.org/article/52d30e5340f044fb961271812168ad10
Autor:
Hyunho Mo, Giovanni Iacca
Publikováno v:
Materials and Manufacturing Processes. :1-18
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4695df6b6876d3469a6a46752f2d4d7c
https://doi.org/10.1080/10426914.2023.2199499
https://doi.org/10.1080/10426914.2023.2199499
Publikováno v:
Memetic Computing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2bb86c2b6a7a7530fc938054ee3a2e45
https://doi.org/10.1007/s12293-022-00386-5
https://doi.org/10.1007/s12293-022-00386-5