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pro vyhledávání: '"Wray, Kyle Hollins"'
Multi-objective optimization models that encode ordered sequential constraints provide a solution to model various challenging problems including encoding preferences, modeling a curriculum, and enforcing measures of safety. A recently developed theo
Externí odkaz:
http://arxiv.org/abs/2209.07096
Robots deployed in the real world over extended periods of time need to reason about unexpected failures, learn to predict them, and to proactively take actions to avoid future failures. Existing approaches for competence-aware planning are either mo
Externí odkaz:
http://arxiv.org/abs/2109.13974
Autor:
Basich, Connor, Svegliato, Justin, Wray, Kyle Hollins, Witwicki, Stefan J., Zilberstein, Shlomo
Publikováno v:
EPTCS 319, 2020, pp. 37-53
Given the complexity of real-world, unstructured domains, it is often impossible or impractical to design models that include every feature needed to handle all possible scenarios that an autonomous system may encounter. For an autonomous system to b
Externí odkaz:
http://arxiv.org/abs/2007.11740
Autor:
Basich, Connor, Svegliato, Justin, Wray, Kyle Hollins, Witwicki, Stefan, Biswas, Joydeep, Zilberstein, Shlomo
Interest in semi-autonomous systems (SAS) is growing rapidly as a paradigm to deploy autonomous systems in domains that require occasional reliance on humans. This paradigm allows service robots or autonomous vehicles to operate at varying levels of
Externí odkaz:
http://arxiv.org/abs/2003.07745
Publikováno v:
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, 2019, pp. 1649-1654
We present the Goal Uncertain Stochastic Shortest Path (GUSSP) problem -- a general framework to model path planning and decision making in stochastic environments with goal uncertainty. The framework extends the stochastic shortest path (SSP) model
Externí odkaz:
http://arxiv.org/abs/1810.08159
Akademický článek
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Autor:
Wray, Kyle Hollins
The path to building adaptive, robust, intelligent agents has led researchers to develop a suite of powerful models and algorithms for agents with a single objective. However, in recent years, attempts to use this monolithic approach to solve an ever
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::539ed0137030b3fd4a610f5d56b87415
Akademický článek
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Publikováno v:
2016 IEEE/RSJ International Conference on Intelligent Robots & Systems (IROS); 2016, p1511-1516, 6p
