Zobrazeno 1 - 10
of 149
pro vyhledávání: '"multi-agent foraging"'
Autor:
Kim, Jonghoek1 (AUTHOR) jonghoek@gmail.com
Publikováno v:
Sensors (14248220). Oct2023, Vol. 23 Issue 19, p8050. 23p.
Autor:
Jonghoek Kim
Publikováno v:
Sensors, Vol 23, Iss 19, p 8050 (2023)
This paper considers a multi-agent foraging problem, where multiple autonomous agents find resources (called pucks) in a bounded workspace and carry the found resources to a designated location, called the base. This article considers the case where
Externí odkaz:
https://doaj.org/article/79cec0bbf1c1401580e29409e7a36a1d
Publikováno v:
In Engineering Applications of Artificial Intelligence April 2016 50:302-319
Autor:
Mustafa Jamshidpour, Mehdi Sadeghzadeh
This paper proposes a new method to solve the problem of foraging in swarm robotics. This research approach is inspired by the collective behaviours of some species of bats that communicate the location of food or nests to other group using sound sig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af91812a68a6f5122670b08fb758cca7
https://doi.org/10.21203/rs.3.rs-1739306/v1
https://doi.org/10.21203/rs.3.rs-1739306/v1
Teams of Artificially Intelligent agents can more effectively achieve their goals by learning to cooperate. Methods for learning cooperation can be centralised or decentralised but the trade-offs of applying these methods are not well understood. Thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9fb33047834db64155eed918b1a264d5
Akademický článek
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Coordination of reactive agent on a foraging task . MIND architecture.
Coordination d'agents réactifs pour une tache de fourragement . Architecture MIND.
Coordination d'agents réactifs pour une tache de fourragement . Architecture MIND.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______166::4ac8151d636796483d43326c1d4dd217
https://hal.science/hal-02924787
https://hal.science/hal-02924787
Publikováno v:
Engineering Applications of Artificial Intelligence
Engineering Applications of Artificial Intelligence, Elsevier, 2016, 50, pp.302-319. ⟨10.1016/j.engappai.2016.01.025⟩
Engineering Applications of Artificial Intelligence, Elsevier, 2016, 50, pp.302-319. ⟨10.1016/j.engappai.2016.01.025⟩
International audience; The foraging task is one of the canonical testbeds for cooperative robotics, in which a collection of robots have to find and transport one or more objects to specific storagepoints. Efficiency in foraging can be improved with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20b78e35099e493b45e2c42306518767
https://doi.org/10.1016/j.engappai.2016.01.025
https://doi.org/10.1016/j.engappai.2016.01.025
Publikováno v:
Complex Adaptive Systems Modeling
Complex Adaptive Systems Modeling, 2017, 5 (1), ⟨10.1186/s40294-016-0041-8⟩
Complex Adaptive Systems Modeling, 2017, 5 (1), ⟨10.1186/s40294-016-0041-8⟩
Background The foraging task is one of the canonical testbeds for cooperative robotics, in which a collection of robots has to search and transport objects to specific storage point(s). In this paper, we investigate the Multi-Agent Foraging (MAF) pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::915067309ddd3fc1accdce1bef5a0327
https://doi.org/10.1186/s40294-016-0041-8
https://doi.org/10.1186/s40294-016-0041-8
Autor:
S. G. Ponnambalam, Mohan Yogeswaran
Publikováno v:
OPSEARCH. 49:223-236
The exploration–exploitation dilemma has been an unresolved issue within the framework of multi-agent reinforcement learning. The agents have to explore in order to improve the state which potentially yields higher rewards in the future or exploit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d764d68fc0ef618ec1b1914fb443529
https://doi.org/10.1007/s12597-012-0077-2
https://doi.org/10.1007/s12597-012-0077-2