Zobrazeno 1 - 10
of 197
pro vyhledávání: '"Frank, Jeremy"'
Autor:
Osanlou, Kevin, Frank, Jeremy, Bursuc, Andrei, Cazenave, Tristan, Jacopin, Eric, Guettier, Christophe, Benton, J.
Publikováno v:
Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Planning under uncertainty is an area of interest in artificial intelligence. We present a novel approach based on tree search and graph machine learning for the scheduling problem known as Disjunctive Temporal Networks with Uncertainty (DTNU). Dynam
Externí odkaz:
http://arxiv.org/abs/2203.15030
Autor:
Osanlou, Kevin, Frank, Jeremy, Benton, J., Bursuc, Andrei, Guettier, Christophe, Jacopin, Eric, Cazenave, Tristan
Publikováno v:
International Conference on Automated Planning and Scheduling 2020. Workshop on Bridging the Gap Between AI Planning and Reinforcement Learning (PRL)
Scheduling in the presence of uncertainty is an area of interest in artificial intelligence due to the large number of applications. We study the problem of dynamic controllability (DC) of disjunctive temporal networks with uncertainty (DTNU), which
Externí odkaz:
http://arxiv.org/abs/2108.01068
Autor:
Amini, Rashied, Azari, Abigail, Bhaskaran, Shyam, Beauchamp, Patricia, Castillo-Rogez, Julie, Castano, Rebecca, Chung, Seung, Day, John, Doyle, Richard, Feather, Martin, Fesq, Lorraine, Frank, Jeremy, Furlong, P. Michael, Ingham, Michel, Kennedy, Brian, Kolcio, Ksenia, Nesnas, Issa, Rasmussen, Robert, Reeves, Glenn, Sorice, Cristina, Theiling, Bethany, Wyatt, Jay
A close partnership between people and partially autonomous machines has enabled decades of space exploration. But to further expand our horizons, our systems must become more capable. Increasing the nature and degree of autonomy - allowing our syste
Externí odkaz:
http://arxiv.org/abs/2009.07363
Autor:
Amini, Rashied, Chien, Steve, Fesq, Lorraine, Frank, Jeremy, Kolcio, Ksenia, Mennsesson, Bertrand, Seager, Sara, Street, Rachel
The impact of autonomous systems on astrophysics can be just as revolutionary as in our daily lives. This paper includes the following so that the astrophysics community can realize the benefits of autonomous systems: description of autonomous system
Externí odkaz:
http://arxiv.org/abs/2009.07361
Publikováno v:
The 24th European Conference on Artificial Intelligence (ECAI 2020)
The problem of compiling general quantum algorithms for implementation on near-term quantum processors has been introduced to the AI community. Previous work demonstrated that temporal planning is an attractive approach for part of this compilationta
Externí odkaz:
http://arxiv.org/abs/2002.10917
Autor:
Frank, Jeremy D.
Over the past decade, the NASA Autonomous Systems and Operations (ASO) project has developed and demonstrated numerous autonomy enabling technologies employing AI techniques. Our work has employed AI in three distinct ways to enable autonomous missio
Externí odkaz:
http://arxiv.org/abs/1910.03014
Autor:
Booth, Kyle E. C., Do, Minh, Beck, J. Christopher, Rieffel, Eleanor, Venturelli, Davide, Frank, Jeremy
Recently, the makespan-minimization problem of compiling a general class of quantum algorithms into near-term quantum processors has been introduced to the AI community. The research demonstrated that temporal planning is a strong approach for a clas
Externí odkaz:
http://arxiv.org/abs/1803.06775
Publikováno v:
2017 Quantum Sci. Technol. - also related to proceedings of IJCAI 2017, and ICAPS SPARK Workshop 2017
To run quantum algorithms on emerging gate-model quantum hardware, quantum circuits must be compiled to take into account constraints on the hardware. For near-term hardware, with only limited means to mitigate decoherence, it is critical to minimize
Externí odkaz:
http://arxiv.org/abs/1705.08927
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.