FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313496145> ?p ?o ?g. }

• W4313496145 abstract "Previous works showed that Deep-RL can be applied to perform mapless navigation, including the medium transition of Hybrid Unmanned Aerial Underwater Vehicles (HUAUVs). This paper presents new approaches based on the state-of-the-art actor-critic algorithms to address the navigation and medium transition problems for a HUAUV. We show that a double critic Deep-RL with Recurrent Neural Networks improves the navigation performance of HUAUVs using solely range data and relative localization. Our Deep-RL approaches achieved better navigation and transitioning capabilities with a solid generalization of learning through distinct simulated scenarios, outperforming previous approaches." @default.
• W4313496145 created "2023-01-06" @default.
• W4313496145 creator A5011219553 @default.
• W4313496145 creator A5017613080 @default.
• W4313496145 creator A5020504746 @default.
• W4313496145 creator A5027433639 @default.
• W4313496145 creator A5037041582 @default.
• W4313496145 creator A5061075103 @default.
• W4313496145 creator A5061106812 @default.
• W4313496145 date "2022-10-18" @default.
• W4313496145 modified "2023-10-03" @default.
• W4313496145 title "Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Deep Reinforcement Learning Through Environmental Generalization" @default.
• W4313496145 cites W1843575698 @default.
• W4313496145 cites W2397340831 @default.
• W4313496145 cites W2465948386 @default.
• W4313496145 cites W2563150812 @default.
• W4313496145 cites W2605102758 @default.
• W4313496145 cites W2745659056 @default.
• W4313496145 cites W2766395563 @default.
• W4313496145 cites W2772013523 @default.
• W4313496145 cites W2795438519 @default.
• W4313496145 cites W2802782010 @default.
• W4313496145 cites W2810169700 @default.
• W4313496145 cites W2897447555 @default.
• W4313496145 cites W2899267659 @default.
• W4313496145 cites W2908707683 @default.
• W4313496145 cites W2908846937 @default.
• W4313496145 cites W2963428623 @default.
• W4313496145 cites W2967452881 @default.
• W4313496145 cites W2967642887 @default.
• W4313496145 cites W3004647015 @default.
• W4313496145 cites W3005166619 @default.
• W4313496145 cites W3036557346 @default.
• W4313496145 cites W3119037956 @default.
• W4313496145 cites W3120739971 @default.
• W4313496145 cites W3129198075 @default.
• W4313496145 cites W3160952489 @default.
• W4313496145 cites W3207080284 @default.
• W4313496145 cites W3216799660 @default.
• W4313496145 cites W4210643767 @default.
• W4313496145 cites W4312862363 @default.
• W4313496145 doi "https://doi.org/10.1109/lars/sbr/wre56824.2022.9995813" @default.
• W4313496145 hasPublicationYear "2022" @default.
• W4313496145 type Work @default.
• W4313496145 citedByCount "2" @default.
• W4313496145 countsByYear W43134961452022 @default.
• W4313496145 crossrefType "proceedings-article" @default.
• W4313496145 hasAuthorship W4313496145A5011219553 @default.
• W4313496145 hasAuthorship W4313496145A5017613080 @default.
• W4313496145 hasAuthorship W4313496145A5020504746 @default.
• W4313496145 hasAuthorship W4313496145A5027433639 @default.
• W4313496145 hasAuthorship W4313496145A5037041582 @default.
• W4313496145 hasAuthorship W4313496145A5061075103 @default.
• W4313496145 hasAuthorship W4313496145A5061106812 @default.
• W4313496145 hasBestOaLocation W43134961452 @default.
• W4313496145 hasConcept C108583219 @default.
• W4313496145 hasConcept C11413529 @default.
• W4313496145 hasConcept C127413603 @default.
• W4313496145 hasConcept C134306372 @default.
• W4313496145 hasConcept C146978453 @default.
• W4313496145 hasConcept C154945302 @default.
• W4313496145 hasConcept C166957645 @default.
• W4313496145 hasConcept C177148314 @default.
• W4313496145 hasConcept C204323151 @default.
• W4313496145 hasConcept C205649164 @default.
• W4313496145 hasConcept C2984842247 @default.
• W4313496145 hasConcept C31972630 @default.
• W4313496145 hasConcept C33923547 @default.
• W4313496145 hasConcept C41008148 @default.
• W4313496145 hasConcept C48103436 @default.
• W4313496145 hasConcept C50644808 @default.
• W4313496145 hasConcept C97541855 @default.
• W4313496145 hasConcept C98083399 @default.
• W4313496145 hasConceptScore W4313496145C108583219 @default.
• W4313496145 hasConceptScore W4313496145C11413529 @default.
• W4313496145 hasConceptScore W4313496145C127413603 @default.
• W4313496145 hasConceptScore W4313496145C134306372 @default.
• W4313496145 hasConceptScore W4313496145C146978453 @default.
• W4313496145 hasConceptScore W4313496145C154945302 @default.
• W4313496145 hasConceptScore W4313496145C166957645 @default.
• W4313496145 hasConceptScore W4313496145C177148314 @default.
• W4313496145 hasConceptScore W4313496145C204323151 @default.
• W4313496145 hasConceptScore W4313496145C205649164 @default.
• W4313496145 hasConceptScore W4313496145C2984842247 @default.
• W4313496145 hasConceptScore W4313496145C31972630 @default.
• W4313496145 hasConceptScore W4313496145C33923547 @default.
• W4313496145 hasConceptScore W4313496145C41008148 @default.
• W4313496145 hasConceptScore W4313496145C48103436 @default.
• W4313496145 hasConceptScore W4313496145C50644808 @default.
• W4313496145 hasConceptScore W4313496145C97541855 @default.
• W4313496145 hasConceptScore W4313496145C98083399 @default.
• W4313496145 hasFunder F4320321091 @default.
• W4313496145 hasFunder F4320322025 @default.
• W4313496145 hasLocation W43134961451 @default.
• W4313496145 hasLocation W43134961452 @default.
• W4313496145 hasOpenAccess W4313496145 @default.
• W4313496145 hasPrimaryLocation W43134961451 @default.
• W4313496145 hasRelatedWork W1647058919 @default.
• W4313496145 hasRelatedWork W2030806501 @default.
• W4313496145 hasRelatedWork W2433210372 @default.

• next