Pathfinding in stochastic environments: learning vs planning

Among the main challenges associated with navigating a mobile robot in complex environments are partial observability and stochasticity. This work proposes a stochastic formulation of the pathfinding problem, assuming that obstacles of arbitrary shapes may appear and disappear at random moments of t...

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Detalles Bibliográficos
Autores principales: Skrynnik, Alexey, Andreychuk, Anton, Yakovlev, Konstantin, Panov, Aleksandr
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9455045/
https://www.ncbi.nlm.nih.gov/pubmed/36091975
http://dx.doi.org/10.7717/peerj-cs.1056

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9455045/
https://www.ncbi.nlm.nih.gov/pubmed/36091975
http://dx.doi.org/10.7717/peerj-cs.1056

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