Matches in SemOpenAlex for { <https://semopenalex.org/work/W4312565556> ?p ?o ?g. }
Showing items 1 to 56 of
56
with 100 items per page.
- W4312565556 abstract "This document consists of the design and simulation of a decision algorithm capable of solving labyrinths using neural networks under the sequential and LSTM recursive architec-tures.For this design, important elements are mentioned for the Q-learning algorithm and an Adam optimization algorithm through the MSE loss function. There are two types of charac-teristics: qualitative and quantitative, the first because Python need compatible libraries such as the following: Numpy, PyTorch, Matplotlib, Tkinter and Jupiter. The second is quantitative type for the construction of the Q-learning algorithm based on the states and actions that the agent performs to define the reward according to the short and long deadline objectives. Labyrinths are generated randomly so that the agent does not memorize the solution path for which tests were made and test the training of each neural network." @default.
- W4312565556 created "2023-01-05" @default.
- W4312565556 creator A5030400864 @default.
- W4312565556 creator A5038361301 @default.
- W4312565556 creator A5054526821 @default.
- W4312565556 date "2022-09-07" @default.
- W4312565556 modified "2023-09-23" @default.
- W4312565556 title "Design and simulation of a path decision algorithm for a labyrinth robot using neural networks" @default.
- W4312565556 doi "https://doi.org/10.1109/argencon55245.2022.9939916" @default.
- W4312565556 hasPublicationYear "2022" @default.
- W4312565556 type Work @default.
- W4312565556 citedByCount "0" @default.
- W4312565556 crossrefType "proceedings-article" @default.
- W4312565556 hasAuthorship W4312565556A5030400864 @default.
- W4312565556 hasAuthorship W4312565556A5038361301 @default.
- W4312565556 hasAuthorship W4312565556A5054526821 @default.
- W4312565556 hasConcept C111919701 @default.
- W4312565556 hasConcept C11413529 @default.
- W4312565556 hasConcept C119857082 @default.
- W4312565556 hasConcept C145420912 @default.
- W4312565556 hasConcept C154945302 @default.
- W4312565556 hasConcept C199360897 @default.
- W4312565556 hasConcept C2777735758 @default.
- W4312565556 hasConcept C30038468 @default.
- W4312565556 hasConcept C33923547 @default.
- W4312565556 hasConcept C41008148 @default.
- W4312565556 hasConcept C50644808 @default.
- W4312565556 hasConcept C519991488 @default.
- W4312565556 hasConceptScore W4312565556C111919701 @default.
- W4312565556 hasConceptScore W4312565556C11413529 @default.
- W4312565556 hasConceptScore W4312565556C119857082 @default.
- W4312565556 hasConceptScore W4312565556C145420912 @default.
- W4312565556 hasConceptScore W4312565556C154945302 @default.
- W4312565556 hasConceptScore W4312565556C199360897 @default.
- W4312565556 hasConceptScore W4312565556C2777735758 @default.
- W4312565556 hasConceptScore W4312565556C30038468 @default.
- W4312565556 hasConceptScore W4312565556C33923547 @default.
- W4312565556 hasConceptScore W4312565556C41008148 @default.
- W4312565556 hasConceptScore W4312565556C50644808 @default.
- W4312565556 hasConceptScore W4312565556C519991488 @default.
- W4312565556 hasLocation W43125655561 @default.
- W4312565556 hasOpenAccess W4312565556 @default.
- W4312565556 hasPrimaryLocation W43125655561 @default.
- W4312565556 hasRelatedWork W2280383998 @default.
- W4312565556 hasRelatedWork W2529681551 @default.
- W4312565556 hasRelatedWork W2891993883 @default.
- W4312565556 hasRelatedWork W2979801952 @default.
- W4312565556 hasRelatedWork W3148954008 @default.
- W4312565556 hasRelatedWork W4285225238 @default.
- W4312565556 hasRelatedWork W4285815787 @default.
- W4312565556 hasRelatedWork W4312812851 @default.
- W4312565556 hasRelatedWork W4312949351 @default.
- W4312565556 hasRelatedWork W1629725936 @default.
- W4312565556 isParatext "false" @default.
- W4312565556 isRetracted "false" @default.
- W4312565556 workType "article" @default.