Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Rolando Fernandez"'
Autor:
Kuray, Preeya, Mei, Wenwen, Sheffield, Sarah E., Sengeh, Joseph, Pulido, Carlos Rolando Fernandez, Capparelli, Clara, Hickey, Robert J., Hickner, Michael A., Choi, U. Hyeok, Lee, Minjae, Chen, Xi
Publikováno v:
Frontiers in Energy Research; 2024, p1-15, 15p
Autor:
Anjon Basak, Erin G. Zaroukian, Mark Mittrick, John Richardson, James Z. Hare, Rolando Fernandez, Nick Waytowich, Derrik E. Asher
Publikováno v:
Open Architecture/Open Business Model Net-Centric Systems and Defense Transformation 2023.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a28a54dfa2e1d8b842b4f30a6060a72a
https://doi.org/10.1117/12.2663507
https://doi.org/10.1117/12.2663507
Autor:
Anjon Basak, Erin G. Zaroukian, Kevin Corder, Rolando Fernandez, Chris D. Hsu, Piyush K. Sharma, Nicholas R. Waytowich, Derrik E. Asher
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa844b858727a43e4cabb501d8adb286
https://doi.org/10.1117/12.2621242
https://doi.org/10.1117/12.2621242
Autor:
Isuru Liyanage, Tony Burdett, Bert Droesbeke, Karoly Erdos, Rolando Fernandez, Alasdair Gray, Muhammad Haseeb, Simon Jupp, Flavia Penim, Cyril Pommier, Philippe Rocca-Serra, Mélanie Courtot, Frederik Coppens
Publikováno v:
BIOINFORMATICS
Summary To advance biomedical research, increasingly large amounts of complex data need to be discovered and integrated. This requires syntactic and semantic validation to ensure shared understanding of relevant entities. This article describes the E
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2afbf123fad2b233a6f5b2091aaa7107
https://hdl.handle.net/1854/LU-01GQ019FKZEHC7PXX42FBH6M16
https://hdl.handle.net/1854/LU-01GQ019FKZEHC7PXX42FBH6M16
Autor:
Derrik E Asher, Anjon Basak, Rolando Fernandez, Piyush K Sharma, Erin G Zaroukian, Christopher D Hsu, Michael R Dorothy, Thomas Mahre, Gerardo Galindo, Luke Frerichs, John Rogers, John Fossaceca
Publikováno v:
The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology. :154851292211040
Reinforcement learning (RL) approaches can illuminate emergent behaviors that facilitate coordination across teams of agents as part of a multi-agent system (MAS), which can provide windows of opportunity in various military tasks. Technologically ad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ced06b13b38ee7018c0855511f8588c
https://doi.org/10.1177/15485129221104096
https://doi.org/10.1177/15485129221104096
Autor:
Anjon Basak, Erin Zaroukian, Michael Dorothy, Derrik E. Asher, Piyush K. Sharma, Rolando Fernandez
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III.
Much work has been dedicated to the exploration of Multi-Agent Reinforcement Learning (MARL) paradigms implementing a centralized learning with decentralized execution (CLDE) approach to achieve human-like collaboration in cooperative tasks. Here, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0426a5a9911716a82d9db885f3b37ba6
https://doi.org/10.1117/12.2585808
https://doi.org/10.1117/12.2585808
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III.
In adversarial multi-agent paradigms, it is often difficult to describe what is learned by reinforcement-learning agents and to measure the robustness of the learned policies. To achieve a better view, we explore the effect of manipulating agent capa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cdca1f8c00a5f3879424fba29d4b2604
https://doi.org/10.1117/12.2585627
https://doi.org/10.1117/12.2585627
Autor:
Zachary I. Bell, Derrik E. Asher, Piyush K. Sharma, Jake Perret, Christopher Hsu, Michael Dorothy, Anjon Basak, Scott A. Nivison, Bryson Howell, Erin Zaroukian, James Humann, Rolando Fernandez
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030680169
Although we have previously observed the emergence of collaboration, or more specifically, coordination between cooperative agents in a Predator-Prey Pursuit task, we have yet to demonstrate this interdependence of agents in a different task domain,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d312f349f59451e965bf48a8d3c7ffa7
https://doi.org/10.1007/978-3-030-68017-6_6
https://doi.org/10.1007/978-3-030-68017-6_6
Autor:
Rolando Fernandez, Sebastian S. Rodriguez, Michael Dorothy, Derrik E. Asher, Erin Zaroukian, James Humann, Brandon S. Perelman
Publikováno v:
Transactions on Computational Science and Computational Intelligence ISBN: 9783030702953
In multi-agent systems, agents’ abilities are often used to classify a system as either homogeneous or heterogeneous. In the context of multi-agent reinforcement learning (MARL) systems, the agents can also be homogeneous or heterogeneous in their
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40dd3a21fe00a55614607c2c039d4c54
https://doi.org/10.1007/978-3-030-70296-0_37
https://doi.org/10.1007/978-3-030-70296-0_37
Autor:
Preeya Kuray, Wenwen Mei, Sarah E. Sheffield, Joseph Sengeh, Carlos Rolando Fernandez Pulido, Clara Capparelli, Robert J. Hickey, Michael A. Hickner
Publikováno v:
Frontiers in Earth Science, Vol 8 (2020)
Single ion conducting gel polymer electrolytes (GPEs) are characterized as having a certain amount of ionic liquid or solvent incorporated into a single ion-conducting polymer matrix and may afford the advantages of high conductivity and low electrol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doajarticles::52ba9079e6622ff40cf8fc03945d8c4c
https://www.frontiersin.org/article/10.3389/fenrg.2020.569387/full
https://www.frontiersin.org/article/10.3389/fenrg.2020.569387/full