Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Connor Yates"'
Publikováno v:
2022 IEEE Conference on Control Technology and Applications (CCTA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4da7301483d0d06ee0f993cfdaf74025
https://doi.org/10.1109/ccta49430.2022.9966089
https://doi.org/10.1109/ccta49430.2022.9966089
Publikováno v:
2021 International Symposium on Multi-Robot and Multi-Agent Systems (MRS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43cbf20112db21d1551e64c80cbc73b3
https://doi.org/10.1109/mrs50823.2021.9620689
https://doi.org/10.1109/mrs50823.2021.9620689
Publikováno v:
GECCO Companion
Many long term robot exploration domains have sparse fitness functions that make it hard for agents to learn and adapt. This work introduces Adaptive Multi-Fitness Learning (A-MFL), which augments the structure of Multi-Fitness Learning (MFL) [7] by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8149fa09cae4eb3098826f903e614d8d
https://doi.org/10.1145/3449726.3459563
https://doi.org/10.1145/3449726.3459563
Publikováno v:
GECCO
Evolutionary learning algorithms have been successfully applied to multiagent problems where the desired system behavior can be captured by a single fitness signal. However, the complexity of many real world applications cannot be reduced to a single
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13ae4fbc4eb70d4f460952078199041d
https://doi.org/10.1145/3377930.3390220
https://doi.org/10.1145/3377930.3390220
Publikováno v:
MRS
Learning correct behavior from one example (one-shot learning) is particularly difficult in multiagent systems where the pertinent information is potentially distributed across agents, and the emergent behavior of the system is dependent on inter-age
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a390d5a571af8e9eb6fbf10aa7af7812
https://doi.org/10.1109/mrs.2019.8901051
https://doi.org/10.1109/mrs.2019.8901051
There is strong commercial interest in the use of large scale automated transport robots in industrial settings (e.g. warehouse robots) and we are beginning to see new applications extending these systems into our urban environments in the form of au
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af6ebdb62464a171ac49eb1a9f1647e0
