POMCP-based decentralized spatial task allocation algorithms for partially observable environments
Spatial task allocation has many applications in realistic multi-robot systems and has been
studied for several years by many researchers. However, most of the researches conducted …
studied for several years by many researchers. However, most of the researches conducted …
Dynamische Aufgabenallokation in der Fabrik der Zukunft: Der Mensch als Impulsgeber
Aufgabenallokation ist eine Ex-ante-Entscheidung der Produktionsplanung, lässt mit
steigender Dynamisierung aber zu wenig Veränderung und Beteiligung der Beschäftigten …
steigender Dynamisierung aber zu wenig Veränderung und Beteiligung der Beschäftigten …
[PDF][PDF] It Is Among Us: Identifying Adversaries in Ad-hoc Domains using Q-valued Bayesian Estimations.
Ad-hoc teamwork models are a relevant tool for addressing Multi-Agent Systems (MAS)
problems with unknown teammates [5, 20]. For example, we often encounter situations in …
problems with unknown teammates [5, 20]. For example, we often encounter situations in …
An Approximate Method for Spatial Task Allocation in Partially Observable Environments
Multi-robot task allocation has many applications in the real world. Robots often have noisy
or local sensor readings, making their workspace partially observable. This paper proposes …
or local sensor readings, making their workspace partially observable. This paper proposes …
[图书][B] On-line planning and learning in type-based ad-hoc teamwork
ES Yourdshahi - 2021 - search.proquest.com
Agents usually follow previously specified coordination and communication protocols for the
sake of working together towards solving various problems. Employing these rules …
sake of working together towards solving various problems. Employing these rules …