Matches in SemOpenAlex for { <https://semopenalex.org/work/W4360584879> ?p ?o ?g. }
Showing items 1 to 75 of
75
with 100 items per page.
- W4360584879 endingPage "94" @default.
- W4360584879 startingPage "76" @default.
- W4360584879 abstract "The unmanned aerial vehicle (UAV) has been applied in unmanned air combat because of its flexibility and practicality. The short-range air combat situation is rapidly changing, and the UAV has to make the autonomous maneuver decision as quickly as possible. In this paper, a type of short-range air combat maneuver decision method based on deep reinforcement learning is proposed. Firstly, the combat environment, including UAV motion model and the position and velocity relationships, is described. On this basic, the combat process is established. Secondly, some improved points based on proximal policy optimization (PPO) are proposed to enhance the maneuver decision-making ability. The gate recurrent unit (GRU) can help PPO make decisions with continuous timestep data. The actor network's input is the observation of UAV, however, the input of the critic network, named state, includes the blood values which cannot be observed directly. In addition, the action space with 15 basic actions and well-designed reward function are proposed to combine the air combat environment and PPO. In particular, the reward function is divided into dense reward, event reward and end-game reward to ensure the training feasibility. The training process is composed of three phases to shorten the training time. Finally, the designed maneuver decision method is verified through the ablation study and confrontment tests. The results show that the UAV with the proposed maneuver decision method can obtain an effective action policy to make a more flexible decision in air combat." @default.
- W4360584879 created "2023-03-24" @default.
- W4360584879 creator A5008460589 @default.
- W4360584879 creator A5018805094 @default.
- W4360584879 date "2023-01-01" @default.
- W4360584879 modified "2023-09-27" @default.
- W4360584879 title "UAV maneuver decision-making via deep reinforcement learning for short-range air combat" @default.
- W4360584879 doi "https://doi.org/10.20517/ir.2023.04" @default.
- W4360584879 hasPublicationYear "2023" @default.
- W4360584879 type Work @default.
- W4360584879 citedByCount "0" @default.
- W4360584879 crossrefType "journal-article" @default.
- W4360584879 hasAuthorship W4360584879A5008460589 @default.
- W4360584879 hasAuthorship W4360584879A5018805094 @default.
- W4360584879 hasBestOaLocation W43605848791 @default.
- W4360584879 hasConcept C105795698 @default.
- W4360584879 hasConcept C111919701 @default.
- W4360584879 hasConcept C121332964 @default.
- W4360584879 hasConcept C127413603 @default.
- W4360584879 hasConcept C14036430 @default.
- W4360584879 hasConcept C146978453 @default.
- W4360584879 hasConcept C154945302 @default.
- W4360584879 hasConcept C204323151 @default.
- W4360584879 hasConcept C2779662365 @default.
- W4360584879 hasConcept C2780598303 @default.
- W4360584879 hasConcept C2780791683 @default.
- W4360584879 hasConcept C2988296547 @default.
- W4360584879 hasConcept C33923547 @default.
- W4360584879 hasConcept C41008148 @default.
- W4360584879 hasConcept C44154836 @default.
- W4360584879 hasConcept C62520636 @default.
- W4360584879 hasConcept C78458016 @default.
- W4360584879 hasConcept C86803240 @default.
- W4360584879 hasConcept C97541855 @default.
- W4360584879 hasConcept C98045186 @default.
- W4360584879 hasConceptScore W4360584879C105795698 @default.
- W4360584879 hasConceptScore W4360584879C111919701 @default.
- W4360584879 hasConceptScore W4360584879C121332964 @default.
- W4360584879 hasConceptScore W4360584879C127413603 @default.
- W4360584879 hasConceptScore W4360584879C14036430 @default.
- W4360584879 hasConceptScore W4360584879C146978453 @default.
- W4360584879 hasConceptScore W4360584879C154945302 @default.
- W4360584879 hasConceptScore W4360584879C204323151 @default.
- W4360584879 hasConceptScore W4360584879C2779662365 @default.
- W4360584879 hasConceptScore W4360584879C2780598303 @default.
- W4360584879 hasConceptScore W4360584879C2780791683 @default.
- W4360584879 hasConceptScore W4360584879C2988296547 @default.
- W4360584879 hasConceptScore W4360584879C33923547 @default.
- W4360584879 hasConceptScore W4360584879C41008148 @default.
- W4360584879 hasConceptScore W4360584879C44154836 @default.
- W4360584879 hasConceptScore W4360584879C62520636 @default.
- W4360584879 hasConceptScore W4360584879C78458016 @default.
- W4360584879 hasConceptScore W4360584879C86803240 @default.
- W4360584879 hasConceptScore W4360584879C97541855 @default.
- W4360584879 hasConceptScore W4360584879C98045186 @default.
- W4360584879 hasIssue "1" @default.
- W4360584879 hasLocation W43605848791 @default.
- W4360584879 hasOpenAccess W4360584879 @default.
- W4360584879 hasPrimaryLocation W43605848791 @default.
- W4360584879 hasRelatedWork W2092937342 @default.
- W4360584879 hasRelatedWork W260766989 @default.
- W4360584879 hasRelatedWork W2899084033 @default.
- W4360584879 hasRelatedWork W2959276766 @default.
- W4360584879 hasRelatedWork W3074294383 @default.
- W4360584879 hasRelatedWork W3139193008 @default.
- W4360584879 hasRelatedWork W4206669594 @default.
- W4360584879 hasRelatedWork W4283164305 @default.
- W4360584879 hasRelatedWork W4288062029 @default.
- W4360584879 hasRelatedWork W4295941380 @default.
- W4360584879 hasVolume "3" @default.
- W4360584879 isParatext "false" @default.
- W4360584879 isRetracted "false" @default.
- W4360584879 workType "article" @default.