Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Leslie Kaelbling"'
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 26:1422-1428
This paper presents a theoretical advance by which factored POSGs can be decomposed into local models. We formalize the interface between such local models as the influence agents can exert on one another; and we prove that this interface is sufficie
A longstanding objective in classical planning is to synthesize policies that generalize across multiple problems from the same domain. In this work, we study generalized policy search-based methods with a focus on the score function used to guide th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::020ab1402178793376ff324c44e59188
http://arxiv.org/abs/2204.10420
http://arxiv.org/abs/2204.10420
Autor:
Clement Gehring, Masataro Asai, Rohan Chitnis, Tom Silver, Leslie Kaelbling, Shirin Sohrabi, Michael Katz
Recent advances in reinforcement learning (RL) have led to a growing interest in applying RL to classical planning domains or applying classical planning methods to some complex RL domains. However, the long-horizon goal-based problems found in class
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3aced596ec4f20d1269d75701dea6145
http://arxiv.org/abs/2109.14830
http://arxiv.org/abs/2109.14830
Publikováno v:
arXiv
This paper introduces the Differentiable Algorithm Network (DAN), a composable architecture for robot learning systems. A DAN is composed of neural network modules, each encoding a differentiable robot algorithm and an associated model; and it is tra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::216ad766c3f6950aa720b7d00fe48c47
https://hdl.handle.net/1721.1/132313
https://hdl.handle.net/1721.1/132313
Autor:
Noel Hollingsworth, Jason Meyer, Ryan McGee, Jeffrey Doering, George Konidaris, Leslie Kaelbling
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 28:2984-2989
We applied a policy search algorithm to the problem of optimizing a start-stop controller—a controller used in a car to turn off the vehicle’s engine, and thus save energy, when the vehicle comes to a temporary halt. We were able to improve the e
Autor:
Truong-Huy Nguyen, David Hsu, Wee-Sun Lee, Tze-Yun Leong, Leslie Kaelbling, Tomas Lozano-Perez, Andrew Grant
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 7:61-66
We apply decision theoretic techniques to construct non-player characters that are able to assist a human player in collaborative games. The method is based on solving Markov decision processes, which can be difficult when the game state is described
Autor:
Thomas Dean, Dana Angluin, Kenneth Basye, Sean Engelson, Leslie Kaelbling, Evangelos Kokkevis, Oded Maron
Publikováno v:
Machine Learning. 18:81-108
Autor:
Leslie Kaelbling
Publikováno v:
6th Computers in Aerospace VI Conference.
X language for inlplementing embedded systems should facilitate the developlnent of real-the programs. have clear formal semantics, allow both numeric and symbolic programming, and be easy to implement on parallel hardware. Rex! a LISP-based language
Publikováno v:
Scopus-Elsevier
In a battlefield situation, the use of air assets can have a large impact upon the outcome. The problem we consider is allocating scarce resources among activities that conduct pre-strike Intelligence, Surveillance, and Reconnaissance (ISR), take str
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::599cf4bddd2db181842620a34e8d8179
http://www.scopus.com/inward/record.url?eid=2-s2.0-35648930447&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-35648930447&partnerID=MN8TOARS
Conference
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