Jan 13, 2020 · Maneuver decision-making directly determines the success or failure of air combat. To improve the dogfight ability of unmanned combat aerial ...
[PDF] Maneuver Decision-making of Deep Learning for UCAV Thorough ...
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A situation assessment function and a decision objective function based on azimuth angles are constructed. During air combat, the optimal maneuver is selected ...
A situation assessment function and a decision objective function based on azimuth angles are constructed. During air combat, the optimal maneuver is selected ...
Autonomous maneuver decision-making for a UCAV in short-range aerial combat based on an MS-DDQN algorithm · Missile Evasion Maneuver Generation with Model-free ...
Maneuver Decision-Making of Deep Learning for UCAV Thorough Azimuth Angles. IEEE Access. 2020 | Journal article. DOI: 10.1109/ACCESS.2020.2966237. Contributors ...
This paper proposes a decision-making method based on an improved deep reinforcement learning (DRL) algorithm: the multi-step double deep Q-network (MS-DDQN) ...
Missing: Thorough | Show results with:Thorough
In this paper, an autonomous maneuver decision-making method for UCAV that considers the partially observable states of Human (the adversary) is proposed.
Missing: Thorough | Show results with:Thorough
Maneuver decision-making is the core of unmanned combat aerial vehicle for autonomous air combat. To solve this problem, we propose an automatic curriculum ...
Missing: Thorough | Show results with:Thorough
A UAV Maneuver Decision-Making Algorithm for Autonomous Airdrop ...
pmc.ncbi.nlm.nih.gov › PMC8004906
In this paper, we propose a maneuver decision-making algorithm based on deep reinforcement learning, which generates efficient maneuvers for a UAV agent to ...
Oct 25, 2024 · In this paper, a UCAV autonomous evasive maneuver method is proposed under the condition of multi-tactical requirements such as miss distance, ...