Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Kavinayan Sivakumar"'
Autor:
Mark J. Chen, Kavinayan Sivakumar, Gregory A. Banyay, Brian M. Golchert, Timothy F. Walsh, Michael M. Zavlanos, Wilkins Aquino
Publikováno v:
Journal of Engineering Mechanics. 148
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1270b60f095d3ac6fdc312dc6f7179ac
https://doi.org/10.1061/(asce)em.1943-7889.0002162
https://doi.org/10.1061/(asce)em.1943-7889.0002162
Publikováno v:
Proposed for presentation at the 2nd Annual International Conference on AI, ML, and other Innovative Technologies in the Nuclear Industry (CAIMIN 2021) held November 29-December 1, 2021 in virtual, US.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cdf12ee1251cb8033f5256d946534411
https://doi.org/10.2172/1897696
https://doi.org/10.2172/1897696
Publikováno v:
IROS
arXiv
arXiv
This paper presents a data-driven approach for multi-robot coordination in partially-observable domains based on Decentralized Partially Observable Markov Decision Processes (Dec-POMDPs) and macro-actions (MAs). Dec-POMDPs provide a general framework
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3c54ae52fcbaf1b41bc76dc651d7daa
http://arxiv.org/abs/1707.07399
http://arxiv.org/abs/1707.07399
Publikováno v:
ICRA
arXiv
arXiv
© 2018 IEEE. A key challenge in multi-robot and multi-agent systems is generating solutions that are robust to other self-interested or even adversarial parties who actively try to prevent the agents from achieving their goals. The practicality of e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a8def6093c87a34675327e773f48cff