Matches in SemOpenAlex for { <https://semopenalex.org/work/W3135963500> ?p ?o ?g. }
Showing items 1 to 70 of
70
with 100 items per page.
- W3135963500 endingPage "100394" @default.
- W3135963500 startingPage "100394" @default.
- W3135963500 abstract "The Deep Q-Network (DQN) is one of the key methods in the deep reinforcement learning algorithm, which has a deep neural network structure used to estimate Q-values in Q-learning methods. We have previously implemented a simulation system considering DQN for control of actuator nodes in Wireless Sensor and Actuator Networks (WSANs). In addition, we have designed and implemented a DQN based Autonomous Aerial Vehicle (AAV) testbed. In this paper, we propose and evaluate a Tabu List Strategy based DQN (TLS-DQN) for AAV mobility control. For evaluation, we compared the simulation results of the mobility control of AAV in indoor single-path environment using normal DQN and the TLS-DQN. The simulation results show that the TLS-DQN has a better performance than the normal DQN." @default.
- W3135963500 created "2021-03-29" @default.
- W3135963500 creator A5008392508 @default.
- W3135963500 creator A5033144376 @default.
- W3135963500 creator A5045426247 @default.
- W3135963500 creator A5045820360 @default.
- W3135963500 creator A5047682854 @default.
- W3135963500 creator A5074224869 @default.
- W3135963500 creator A5086581662 @default.
- W3135963500 date "2021-06-01" @default.
- W3135963500 modified "2023-10-14" @default.
- W3135963500 title "A Tabu list strategy based DQN for AAV mobility in indoor single-path environment: Implementation and performance evaluation" @default.
- W3135963500 cites W2145339207 @default.
- W3135963500 cites W2168359464 @default.
- W3135963500 cites W2602441465 @default.
- W3135963500 cites W3004751533 @default.
- W3135963500 cites W3130612238 @default.
- W3135963500 cites W4246598646 @default.
- W3135963500 doi "https://doi.org/10.1016/j.iot.2021.100394" @default.
- W3135963500 hasPublicationYear "2021" @default.
- W3135963500 type Work @default.
- W3135963500 sameAs 3135963500 @default.
- W3135963500 citedByCount "19" @default.
- W3135963500 countsByYear W31359635002021 @default.
- W3135963500 countsByYear W31359635002022 @default.
- W3135963500 countsByYear W31359635002023 @default.
- W3135963500 crossrefType "journal-article" @default.
- W3135963500 hasAuthorship W3135963500A5008392508 @default.
- W3135963500 hasAuthorship W3135963500A5033144376 @default.
- W3135963500 hasAuthorship W3135963500A5045426247 @default.
- W3135963500 hasAuthorship W3135963500A5045820360 @default.
- W3135963500 hasAuthorship W3135963500A5047682854 @default.
- W3135963500 hasAuthorship W3135963500A5074224869 @default.
- W3135963500 hasAuthorship W3135963500A5086581662 @default.
- W3135963500 hasConcept C154945302 @default.
- W3135963500 hasConcept C26517878 @default.
- W3135963500 hasConcept C2777735758 @default.
- W3135963500 hasConcept C31258907 @default.
- W3135963500 hasConcept C31395832 @default.
- W3135963500 hasConcept C38652104 @default.
- W3135963500 hasConcept C41008148 @default.
- W3135963500 hasConcept C97541855 @default.
- W3135963500 hasConceptScore W3135963500C154945302 @default.
- W3135963500 hasConceptScore W3135963500C26517878 @default.
- W3135963500 hasConceptScore W3135963500C2777735758 @default.
- W3135963500 hasConceptScore W3135963500C31258907 @default.
- W3135963500 hasConceptScore W3135963500C31395832 @default.
- W3135963500 hasConceptScore W3135963500C38652104 @default.
- W3135963500 hasConceptScore W3135963500C41008148 @default.
- W3135963500 hasConceptScore W3135963500C97541855 @default.
- W3135963500 hasLocation W31359635001 @default.
- W3135963500 hasOpenAccess W3135963500 @default.
- W3135963500 hasPrimaryLocation W31359635001 @default.
- W3135963500 hasRelatedWork W1493952344 @default.
- W3135963500 hasRelatedWork W2273814841 @default.
- W3135963500 hasRelatedWork W2889109362 @default.
- W3135963500 hasRelatedWork W2953241056 @default.
- W3135963500 hasRelatedWork W2963118303 @default.
- W3135963500 hasRelatedWork W3018270953 @default.
- W3135963500 hasRelatedWork W3037481690 @default.
- W3135963500 hasRelatedWork W3074294383 @default.
- W3135963500 hasRelatedWork W4206669594 @default.
- W3135963500 hasRelatedWork W4386555641 @default.
- W3135963500 hasVolume "14" @default.
- W3135963500 isParatext "false" @default.
- W3135963500 isRetracted "false" @default.
- W3135963500 magId "3135963500" @default.
- W3135963500 workType "article" @default.