LSTM-TD3-Based Control for Delayed Drone Combat Strategies
B Ji, J Wang, H Zhang, Y Zhang - Chinese Intelligent Systems Conference, 2023 - Springer
Reinforcement learning has made great achievements in the field of game confrontation,
and military rendition intelligence is also imminent. In this paper, we propose a game …
and military rendition intelligence is also imminent. In this paper, we propose a game …
Research on Maneuvering Control Algorithm of Short-Range UAV Air Combat Based on Deep Reinforcement Learning
Y Wang, Q Long, M Wu, Y Chen… - 2023 2nd International …, 2023 - ieeexplore.ieee.org
With the development of autonomous control system technology of unmanned aerial vehicle
(UAV), the application of UAV in air combat is increasing. In the future, the intelligent warfare …
(UAV), the application of UAV in air combat is increasing. In the future, the intelligent warfare …
Autonomous Maneuver Decision of UAV in Air Combat Based on Scenario-Transfer Deep Reinforcement Learning
Q Jin, X Gao, Z Guo, Z Hou - International Conference on Autonomous …, 2021 - Springer
The traditional command operation depend on the ground station is difficult to adapt to the
highly dynamic and uncertain UAV air combat environment. Previous researches on UAV …
highly dynamic and uncertain UAV air combat environment. Previous researches on UAV …
A collaborative combat decision-making method based on multi-agent deep reinforcement learning
M Liu, K Liu, J Wei - 2024 36th Chinese Control and Decision …, 2024 - ieeexplore.ieee.org
In the complex and unknown modern warfare, drone clusters may lose communication with
the command center or within the cluster. Confronted with the problem of inflexibility, and …
the command center or within the cluster. Confronted with the problem of inflexibility, and …
Maneuver decision of UAV in short-range air combat based on deep reinforcement learning
Q Yang, J Zhang, G Shi, J Hu, Y Wu - IEEE Access, 2019 - ieeexplore.ieee.org
With the development of artificial intelligence and integrated sensor technologies,
unmanned aerial vehicles (UAVs) are more and more applied in the air combats. A …
unmanned aerial vehicles (UAVs) are more and more applied in the air combats. A …
Collaborative air combat maneuvering decision-making method based on graph convolutional deep reinforcement learning
Y OU, Z GUO, D LUO, K MIAO - Chinese Journal of Engineering, 2024 - cje.ustb.edu.cn
The effective implementation of multi-unmanned aerial vehicle (UAV) decision making and
improvement in the efficiency of coordinated mission execution are currently the top …
improvement in the efficiency of coordinated mission execution are currently the top …
[PDF][PDF] UAV maneuver decision-making via deep reinforcement learning for short-range air combat
Z Zheng, H Duan - Intell Robot, 2023 - f.oaes.cc
Theunmannedaerialvehicle (UAV) hasbeenappliedinunmannedaircombatbec…. The short-
range air combat situation is rapidly changing, and the UAV has to make the autonomous …
range air combat situation is rapidly changing, and the UAV has to make the autonomous …
A hierarchical deep reinforcement learning framework for 6-DOF UCAV air-to-air combat
Unmanned combat air vehicle (UCAV) combat is a challenging scenario with high-
dimensional continuous state and action space and highly nonlinear dynamics. In this …
dimensional continuous state and action space and highly nonlinear dynamics. In this …
2v2 Air Combat Confrontation Strategy Based on Reinforcement Learning
J Wang, L Zhu, H Yang, Y Ji, X Wang - International Conference on …, 2022 - Springer
Aircraft cluster air combat scenario is a long sequence decision-making task with complex
state change, difficult control, which the use of general supervised learning, RNN network …
state change, difficult control, which the use of general supervised learning, RNN network …
A Multi-agent Deep Reinforcement Learning Framework for UAV Swarm
F Zeng, H Yang, Q Zhao, M Li - Chinese Conference on Swarm …, 2023 - Springer
Unmanned aerial vehicle (UAV) swarm plays more and more important role in modern
warfare, they can cooperate, communicate and share information with each other to …
warfare, they can cooperate, communicate and share information with each other to …