Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Justin Svegliato"'
Autor:
Carolyn C. Matheus, Justin Svegliato
Publikováno v:
Human Technology, Vol 11, Iss 2, Pp 100-122 (2015)
Stimulus–response (S–R) tests provide a unique way to acquire information about human perception by capturing automatic responses to stimuli and attentional processes. This paper presents OpenSR, a user-centered S–R testing framework providing
Externí odkaz:
https://doaj.org/article/8d9135bdfbfe45b5843f6b7938a78a9d
Publikováno v:
Proceedings of the International Conference on Automated Planning and Scheduling. 32:556-564
Anytime planning algorithms often have hyperparameters that can be tuned at runtime to optimize their performance. While work on metareasoning has focused on when to interrupt an anytime planner and act on the current plan, the scope of metareasoning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1572457eec22cadd3541dff4da668fc
https://doi.org/10.1609/icaps.v32i1.19842
https://doi.org/10.1609/icaps.v32i1.19842
Publikováno v:
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b04c644697239fa1ffae56ea3ac96424
https://doi.org/10.1109/iros47612.2022.9981612
https://doi.org/10.1109/iros47612.2022.9981612
Publikováno v:
Proceedings of the International Symposium on Combinatorial Search. 12:116-120
Anytime Weighted A*---an anytime heuristic search algorithm that uses a weight to scale the heuristic value of each node in the open list---has proven to be an effective way to manage the trade-off between solution quality and computation time in heu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd6046fdc2fbcf8076f23bc7f3d915e0
https://doi.org/10.1609/socs.v12i1.18558
https://doi.org/10.1609/socs.v12i1.18558
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:11657-11665
Enabling autonomous systems to comply with an ethical theory is critical given their accelerating deployment in domains that impact society. While many ethical theories have been studied extensively in moral philosophy, they are still challenging to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e723a875d6749d8ab01e979769781855
https://doi.org/10.1609/aaai.v35i13.17386
https://doi.org/10.1609/aaai.v35i13.17386
Autor:
Connor Basich, Justin Svegliato, Kyle H. Wray, Stefan Witwicki, Joydeep Biswas, Shlomo Zilberstein
Publikováno v:
Artificial Intelligence. 316:103844
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8be490d36a44ec406eb32b1af65523df
https://doi.org/10.1016/j.artint.2022.103844
https://doi.org/10.1016/j.artint.2022.103844
Publikováno v:
2022 International Conference on Robotics and Automation (ICRA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74eec08749d4aba29209d92e1d3d569a
https://doi.org/10.1109/icra46639.2022.9811887
https://doi.org/10.1109/icra46639.2022.9811887
Autor:
Connor Basich, Justin Svegliato, Allyson Beach, Kyle H. Wray, Stefan Witwicki, Shlomo Zilberstein
Publikováno v:
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be4405e97dea286c0b7fb1ee13439dc7
https://doi.org/10.1109/iros51168.2021.9636239
https://doi.org/10.1109/iros51168.2021.9636239
Publikováno v:
AIES
Ethically compliant autonomous systems (ECAS) are the state-of-the-art for solving sequential decision-making problems under uncertainty while respecting constraints that encode ethical considerations. This paper defines a novel concept in the contex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84c5742a08da4f94c689667085c972e1
https://doi.org/10.1145/3461702.3462522
https://doi.org/10.1145/3461702.3462522
Autor:
Justin Svegliato, Shlomo Zilberstein, Samer B. Nashed, Rod Grupen, Connor Basich, Matteo Brucato
Publikováno v:
ICRA
Autonomous systems often use approximate planners that exploit state abstractions to solve large MDPs in real-time decision-making problems. However, these planners can eliminate details needed to produce effective behavior in autonomous systems. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef2d085cc2aa93bc4a61b25614192005
https://doi.org/10.1109/icra48506.2021.9561435
https://doi.org/10.1109/icra48506.2021.9561435