Electronics Optics & Control, Volume. 31, Issue 8, 1(2024)
UAV Intelligent Mission Planning Based on SAC-Lagrangian Under Confrontation Conditions
[1] [1] ERDELJ MNATALIZIO E.UAVassisted disaster management:applications and open issues[C]//Proceedings of IEEE International Conference on ComputingNetworking and Communications.Kauai:IEEE2016:15.
[2] [2] FAICAL B SUEYAMA JDE CARVALHO A C P L F.The use of autonomous UAVs to improve pesticide application in crop fields[C]//Proceedings of 17th IEEE International Conference on Mobile Data Management.Porto:IEEE2016:3233.
[3] [3] LI Z RLIU YHAYWARD Ret al.Knowledgebased power line detection for UAV surveillance and inspection systems[C]//Proceedings of 23rd International Conference on Image and Vision Computing.Christchurch:IEEE 2008:16.
[4] [4] OUYANG JZHUANG YLIN Met al.Optimization of beamforming and path planning for UAVassisted wireless relay networks[J].Chinese Journal of Aeronautics 201427(2):313320.
[5] [5] SHI W SLI J LWU H Qet al.Dronecell trajectory planning and resource allocation for highly mobile networks:a hierarchical DRL approach[J].IEEE Internet of Things Journal20218(12):98009813.
[6] [6] LIU YLUO Z HLIU Zet al.Cooperative routing problem for ground vehicle and unmanned aerial vehicle:the application on intelligencesurveillanceand reconnaissance missions[J].IEEE Access20197:6350463518.
[7] [7] ZHAO ZNIU Y FSHEN L C.Adaptive level of autonomy for humanUAVs collaborative surveillance using situated fuzzy cognitive maps[J].Chinese Journal of Aeronautics202033(11):28352850.
[9] [9] GAERTNER U.UAV swarm tactics:an agentbased simulation and Markov process analysis[D].Monterey:Naval Postgraduate School2013.
[10] [10] ERNEST NCARROLL DSCHUMACHER Cet al.Genetic fuzzy based artificial intelligence for unmanned combat aerial vehicle control in simulated air combat missions[J].Journal of Defense Management20166(1):1000144.
[11] [11] RAMIREZ A CBELLO O GRMORENO M Det al.Solving complex multiUAV mission planning problems using multiobjective genetic algorithms[J].Soft Computing201721:48834900.
[12] [12] ZHEN Z YXING D JGAO C.Cooperative searchattack mission planning for multiUAV based on intelligent selforganized algorithm[J].Aerospace Science and Technology201876:402411.
[13] [13] ZHANG G YLI YXU X Het al.Multiagent reinforcement learning for swarm confrontation environments[C]//Intelligent Robotics and Applications.Shenyang:Springer Cham 2019:533543.
[14] [14] SUN Z XPIAO H YYANG Zet al.Multiagent hierarchical policy gradient for air combat tactics emergence via selfplay[J].Engineering Applications of Artificial Intelligence202098:104112.
[15] [15] ALTMAN E.Constrained Markov decision processes[M].New York:Routledge1999.
[16] [16] HA SXU PTAN Z Yet al.Learning to walk in the real world with minimal human effort[EB/OL].(20201103)[20221201].https://arxiv.org/abs/2002.08550.
[17] [17] SUTTON R SBARTO A G.Reinforcement learning:an introduction[M].Cambridge:MIT Press1998.
[18] [18] SILVER DHUANG AMADDISON C Jet al.Mastering the game of Go with deep neural networks and tree search[J].Nature2016529:484489.
[19] [19] SILVER DSCHRITTWIESER JSIMONYAN Ket al.Mastering the game of Go without human knowledge[J].Nature2017550:354359.
[20] [20] HAARNOJA TZHOU AABBEEL Pet al.Soft actorcritic:offpolicy maximum entropy deep reinforcement learning with a stochastic actor[EB/OL].(20180808)[20221201].https://arxiv.org/abs/1801.01290.
[21] [21] PLATT J CBARR A H.Constrained differential optimization[C]//Neural Information Processing Systems. Cambridge:MIT Press1987:612621.
[22] [22] HAARNOJA TZHOU AHARTIKAINEN Ket al.Soft actorcritic algorithms and applications[EB/OL].(20190129)[20221201].https://arxiv.org/abs/1812.05905.
[23] [23] KINGMA D PBA J.Adam:a method for stochastic optimization[EB/OL].(20170130)[20221201].https://arxiv.org/abs/1412.6980.
[24] [24] SCHULMAN JWOLSKI FDHARIWAL Pet al.Proximal policy optimization algorithm[EB/OL].(20170828)[20221201].https://arxiv.org/abs/1707.06347.
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YUE Longfei, YANG Rennong, YAN Mengda, ZHAO Xiaoru, ZUO Jialiang, LIU Huiliang, ZHANG Mingyua. UAV Intelligent Mission Planning Based on SAC-Lagrangian Under Confrontation Conditions[J]. Electronics Optics & Control, 2024, 31(8): 1
Received: Dec. 27, 2022
Accepted: --
Published Online: Nov. 20, 2024
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