Artigos de revistas sobre o tema "Multi-Task agent"
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Wu, Xiaohu, Yihao Liu, Xueyan Tang, Wentong Cai, Funing Bai, Gilbert Khonstantine e Guopeng Zhao. "Multi-Agent Pickup and Delivery with Task Deadlines". Proceedings of the International Symposium on Combinatorial Search 12, n.º 1 (21 de julho de 2021): 206–8. http://dx.doi.org/10.1609/socs.v12i1.18585.
Texto completo da fonteSurynek, Pavel. "Multi-Goal Multi-Agent Path Finding via Decoupled and Integrated Goal Vertex Ordering". Proceedings of the International Symposium on Combinatorial Search 12, n.º 1 (21 de julho de 2021): 197–99. http://dx.doi.org/10.1609/socs.v12i1.18582.
Texto completo da fonteXie, Bing, Xueqiang Gu, Jing Chen e LinCheng Shen. "A multi-responsibility–oriented coalition formation framework for dynamic task allocation in mobile–distributed multi-agent systems". International Journal of Advanced Robotic Systems 15, n.º 6 (1 de novembro de 2018): 172988141881303. http://dx.doi.org/10.1177/1729881418813037.
Texto completo da fontePei, Zhaoyi, Songhao Piao, Meixiang Quan, Muhammad Zuhair Qadir e Guo Li. "Active collaboration in relative observation for multi-agent visual simultaneous localization and mapping based on Deep Q Network". International Journal of Advanced Robotic Systems 17, n.º 2 (1 de março de 2020): 172988142092021. http://dx.doi.org/10.1177/1729881420920216.
Texto completo da fonteThiele, Veikko. "Task-specific abilities in multi-task principal–agent relationships". Labour Economics 17, n.º 4 (agosto de 2010): 690–98. http://dx.doi.org/10.1016/j.labeco.2009.12.003.
Texto completo da fonteNedelmann, Déborah Conforto, Jérôme Lacan e Caroline P. C. Chanel. "SKATE : Successive Rank-based Task Assignment for Proactive Online Planning". Proceedings of the International Conference on Automated Planning and Scheduling 34 (30 de maio de 2024): 396–404. http://dx.doi.org/10.1609/icaps.v34i1.31499.
Texto completo da fonteRodiah, Iis, Medria Kusuma Dewi Hardhienata, Agus Buono e Karlisa Priandana. "Ant Colony Optimization Modelling for Task Allocation in Multi-Agent System for Multi-Target". Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 6, n.º 6 (27 de dezembro de 2022): 911–22. http://dx.doi.org/10.29207/resti.v6i6.4201.
Texto completo da fonteWang, Yijuan, Weijun Pan e Kaiyuan Liu. "Multi-Agent Aviation Search Task Allocation Method". IOP Conference Series: Materials Science and Engineering 646 (17 de outubro de 2019): 012058. http://dx.doi.org/10.1088/1757-899x/646/1/012058.
Texto completo da fontePal, Anshika, Ritu Tiwari e Anupam Shukla. "Communication constraints multi-agent territory exploration task". Applied Intelligence 38, n.º 3 (15 de setembro de 2012): 357–83. http://dx.doi.org/10.1007/s10489-012-0376-6.
Texto completo da fonteSurynek, Pavel. "Multi-Goal Multi-Agent Path Finding via Decoupled and Integrated Goal Vertex Ordering". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 14 (18 de maio de 2021): 12409–17. http://dx.doi.org/10.1609/aaai.v35i14.17472.
Texto completo da fonteDou, Lintao, Zhen Jia e Jian Huang. "Solving large-scale multi-agent tasks via transfer learning with dynamic state representation". International Journal of Advanced Robotic Systems 20, n.º 2 (1 de março de 2023): 172988062311624. http://dx.doi.org/10.1177/17298806231162440.
Texto completo da fonteShahid, Asad Ali, Jorge Said Vidal Sesin, Damjan Pecioski, Francesco Braghin, Dario Piga e Loris Roveda. "Decentralized Multi-Agent Control of a Manipulator in Continuous Task Learning". Applied Sciences 11, n.º 21 (1 de novembro de 2021): 10227. http://dx.doi.org/10.3390/app112110227.
Texto completo da fonteLavendelis, Egons, e Janis Grundspenkis. "Design of Multi-Agent Based Intelligent Tutoring Systems". Scientific Journal of Riga Technical University. Computer Sciences 38, n.º 38 (1 de janeiro de 2009): 48–59. http://dx.doi.org/10.2478/v10143-009-0004-z.
Texto completo da fonteMa, Ziyuan, e Huajun Gong. "Heterogeneous multi-agent task allocation based on graph neural network ant colony optimization algorithms". Intelligence & Robotics 3, n.º 4 (31 de outubro de 2023): 581–95. http://dx.doi.org/10.20517/ir.2023.33.
Texto completo da fonteMao, Jianlin, Zhigang He, Dayan Li, Ruiqi Li, Shufan Zhang e Niya Wang. "Multi-Agent Collaborative Path Planning Algorithm with Multiple Meeting Points". Electronics 13, n.º 16 (22 de agosto de 2024): 3347. http://dx.doi.org/10.3390/electronics13163347.
Texto completo da fonteShah, Julie, Patrick Conrad e Brian Williams. "Fast Distributed Multi-agent Plan Execution with Dynamic Task Assignment and Scheduling". Proceedings of the International Conference on Automated Planning and Scheduling 19 (16 de outubro de 2009): 289–96. http://dx.doi.org/10.1609/icaps.v19i1.13362.
Texto completo da fonteChen, Yining, Guanghua Song, Zhenhui Ye e Xiaohong Jiang. "Scalable and Transferable Reinforcement Learning for Multi-Agent Mixed Cooperative–Competitive Environments Based on Hierarchical Graph Attention". Entropy 24, n.º 4 (18 de abril de 2022): 563. http://dx.doi.org/10.3390/e24040563.
Texto completo da fonteYang, Li, Xie Dong Cao e Jie Li. "Research on Minimum-Cost-Based Task Decomposition Model of Multiple Expert Systems for Oil-Gas Reservoir Protection Based on Agent". Applied Mechanics and Materials 275-277 (janeiro de 2013): 2650–53. http://dx.doi.org/10.4028/www.scientific.net/amm.275-277.2650.
Texto completo da fonteKUSEK, MARIO, KRESIMIR JURASOVIC e GORDAN JEZIC. "VERIFICATION OF THE MOBILE AGENT NETWORK SIMULATOR — A TOOL FOR SIMULATING MULTI-AGENT SYSTEMS". International Journal of Software Engineering and Knowledge Engineering 18, n.º 05 (agosto de 2008): 651–82. http://dx.doi.org/10.1142/s0218194008003854.
Texto completo da fonteMiao, Yongfei, Luo Zhong, Yufu Yin, Chengming Zou e Zhenjun Luo. "Research on dynamic task allocation for multiple unmanned aerial vehicles". Transactions of the Institute of Measurement and Control 39, n.º 4 (1 de fevereiro de 2017): 466–74. http://dx.doi.org/10.1177/0142331217693077.
Texto completo da fonteCaballero Testón, J., e Maria D. R-Moreno. "Multi-Agent Temporal Task Solving and Plan Optimization". Proceedings of the International Conference on Automated Planning and Scheduling 34 (30 de maio de 2024): 50–58. http://dx.doi.org/10.1609/icaps.v34i1.31460.
Texto completo da fonteWan, Xiao Ping, e Shu Yu Li. "Dynamic Task Allocation Based on Game Theory". Advanced Materials Research 926-930 (maio de 2014): 2790–94. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.2790.
Texto completo da fonteZhang, Li, Zhi Qi, Hao Cui, Sen Hua Wang, Ya Hui Ning e Qian Zhu Wang. "Exploring Agent-Based Modeling for Emergency Logistics Collaborative Decision Making". Advanced Materials Research 710 (junho de 2013): 781–85. http://dx.doi.org/10.4028/www.scientific.net/amr.710.781.
Texto completo da fonteWang, Caroline, Ishan Durugkar, Elad Liebman e Peter Stone. "DM²: Decentralized Multi-Agent Reinforcement Learning via Distribution Matching". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 10 (26 de junho de 2023): 11699–707. http://dx.doi.org/10.1609/aaai.v37i10.26382.
Texto completo da fonteJiang, Zhiling, Tiantian Song, Bowei Yang e Guanghua Song. "Fault-Tolerant Control for Multi-UAV Exploration System via Reinforcement Learning Algorithm". Aerospace 11, n.º 5 (8 de maio de 2024): 372. http://dx.doi.org/10.3390/aerospace11050372.
Texto completo da fonteNykyforchyn, I. V. "OPTIMAL CONTRACTS IN A MULTI-PURPOSE TASK". PRECARPATHIAN BULLETIN OF THE SHEVCHENKO SCIENTIFIC SOCIETY Number, n.º 1(59) (28 de janeiro de 2021): 66–71. http://dx.doi.org/10.31471/2304-7399-2020-1(59)-66-71.
Texto completo da fonteZhang, Mei, Jing Hua Wen e Yong Long Fan. "Modeling of Multi-Agents' Coordination". Applied Mechanics and Materials 437 (outubro de 2013): 222–25. http://dx.doi.org/10.4028/www.scientific.net/amm.437.222.
Texto completo da fonteJi, Sang Hoon, Jeong Sik Choi, No San Kwak e Beom Hee Lee. "OPTIMAL PRIORITY SELECTION FOR MULTI-AGENT TASK EXECUTION". IFAC Proceedings Volumes 38, n.º 1 (2005): 583–88. http://dx.doi.org/10.3182/20050703-6-cz-1902.01367.
Texto completo da fonteKamali, Kaivan, Dan Ventura, Amulya Garga e Soundar R. T. Kumara. "GEOMETRIC TASK DECOMPOSITION IN A MULTI-AGENT ENVIRONMENT". Applied Artificial Intelligence 20, n.º 5 (junho de 2006): 437–56. http://dx.doi.org/10.1080/08839510500313737.
Texto completo da fonteNelke, Sofia Amador, Steven Okamoto e Roie Zivan. "Market Clearing–based Dynamic Multi-agent Task Allocation". ACM Transactions on Intelligent Systems and Technology 11, n.º 1 (11 de fevereiro de 2020): 1–25. http://dx.doi.org/10.1145/3356467.
Texto completo da fonteManiadakis, Michail, Emmanouil Hourdakis e Panos Trahanias. "Time-informed task planning in multi-agent collaboration". Cognitive Systems Research 43 (junho de 2017): 291–300. http://dx.doi.org/10.1016/j.cogsys.2016.09.004.
Texto completo da fonteAtzmon, Dor, Jiaoyang Li, Ariel Felner, Eliran Nachmani, Shahaf Shperberg, Nathan Sturtevant e Sven Koenig. "Multi-Directional Search". Proceedings of the International Symposium on Combinatorial Search 11, n.º 1 (1 de setembro de 2021): 121–22. http://dx.doi.org/10.1609/socs.v11i1.18518.
Texto completo da fonteZhang, Li, Zhi Qi, Qian Zhu Wang, Xing Ping Wang e Xin Shen. "Building a Multi-Agent System for Emergency Logistics Collaborative Decision". Applied Mechanics and Materials 513-517 (fevereiro de 2014): 2041–44. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.2041.
Texto completo da fonteQiang, Ning, e Feng Ju Kang. "Multi-Task Coalition Generation of Multi-Agent System with Limited Resource". Advanced Materials Research 971-973 (junho de 2014): 1655–58. http://dx.doi.org/10.4028/www.scientific.net/amr.971-973.1655.
Texto completo da fonteAtzmon, Dor, Roni Stern, Ariel Felner, Glenn Wagner, Roman Bartak e Neng-Fa Zhou. "Robust Multi-Agent Path Finding". Proceedings of the International Symposium on Combinatorial Search 9, n.º 1 (1 de setembro de 2021): 2–9. http://dx.doi.org/10.1609/socs.v9i1.18445.
Texto completo da fonteWu, Zhong Bing, Bing Yao, Yi Sheng Liu e Shi Jie Jiang. "Research on Incentive Equilibrium Mechanism of Agent-Construction Relationship Based on Multitask Principal-Agent Model". Advanced Materials Research 250-253 (maio de 2011): 2440–45. http://dx.doi.org/10.4028/www.scientific.net/amr.250-253.2440.
Texto completo da fonteYu, Yuekang, Zhongyi Zhai, Weikun Li e Jianyu Ma. "Target-Oriented Multi-Agent Coordination with Hierarchical Reinforcement Learning". Applied Sciences 14, n.º 16 (12 de agosto de 2024): 7084. http://dx.doi.org/10.3390/app14167084.
Texto completo da fonteShi, Wen, e Chengpu Yu. "Multi-Agent Task Allocation with Multiple Depots Using Graph Attention Pointer Network". Electronics 12, n.º 16 (8 de agosto de 2023): 3378. http://dx.doi.org/10.3390/electronics12163378.
Texto completo da fonteKotsinis, Dimitrios, e Charalampos P. Bechlioulis. "Decentralized Navigation with Optimality for Multiple Holonomic Agents in Simply Connected Workspaces". Sensors 24, n.º 10 (15 de maio de 2024): 3134. http://dx.doi.org/10.3390/s24103134.
Texto completo da fonteAlexander, Perry. "Task Analysis and Design Plans in Formal Specification Design". International Journal of Software Engineering and Knowledge Engineering 08, n.º 02 (junho de 1998): 223–52. http://dx.doi.org/10.1142/s0218194098000133.
Texto completo da fonteShi, Daming, Junbo Tong, Yi Liu e Wenhui Fan. "Knowledge Reuse of Multi-Agent Reinforcement Learning in Cooperative Tasks". Entropy 24, n.º 4 (28 de março de 2022): 470. http://dx.doi.org/10.3390/e24040470.
Texto completo da fontePark, Sankyu, Key-Sun Choi e K. H. (Kane) Kim. "A Framework for Multi-Agent Systems with Multi-Modal User Interfaces in Distributed Computing Environments". International Journal of Software Engineering and Knowledge Engineering 07, n.º 03 (setembro de 1997): 351–69. http://dx.doi.org/10.1142/s0218194097000217.
Texto completo da fonteSimões, David, Nuno Lau e Luís Paulo Reis. "Exploring communication protocols and centralized critics in multi-agent deep learning". Integrated Computer-Aided Engineering 27, n.º 4 (11 de setembro de 2020): 333–51. http://dx.doi.org/10.3233/ica-200631.
Texto completo da fonteYuan, Ruiping, Jiangtao Dou, Juntao Li, Wei Wang e Yingfan Jiang. "Multi-robot task allocation in e-commerce RMFS based on deep reinforcement learning". Mathematical Biosciences and Engineering 20, n.º 2 (2022): 1903–18. http://dx.doi.org/10.3934/mbe.2023087.
Texto completo da fonteWang, Zijin, Yibin Wang, Ming Chen, Tingyu Yuan, Haibo Chen e Yingze Yang. "A Task Allocation Strategy based on Hungarian Algorithm in RoboCup Rescue Simulation". Journal of Physics: Conference Series 2456, n.º 1 (1 de março de 2023): 012009. http://dx.doi.org/10.1088/1742-6596/2456/1/012009.
Texto completo da fonteXU, DIANXIANG, RICHARD A. VOLZ, THOMAS R. IOERGER e JOHN YEN. "MODELING AND ANALYZING MULTI-AGENT BEHAVIORS USING PREDICATE/TRANSITION NETS". International Journal of Software Engineering and Knowledge Engineering 13, n.º 01 (fevereiro de 2003): 103–24. http://dx.doi.org/10.1142/s0218194003001184.
Texto completo da fonteVainshtain, David, e Oren Salzman. "Multi-Agent Terraforming: Efficient Multi-Agent Path Finding via Environment Manipulation". Proceedings of the International Symposium on Combinatorial Search 12, n.º 1 (21 de julho de 2021): 239–41. http://dx.doi.org/10.1609/socs.v12i1.18596.
Texto completo da fonteLiu, Chenlei, e Zhixin Sun. "A Multi-Agent Reinforcement Learning-Based Task-Offloading Strategy in a Blockchain-Enabled Edge Computing Network". Mathematics 12, n.º 14 (19 de julho de 2024): 2264. http://dx.doi.org/10.3390/math12142264.
Texto completo da fonteArain, Zulfiqar Ali, Xuesong Qiu, Changqiao Xu, Mu Wang e Mussadiq Abdul Rahim. "Energy-Aware MPTCP Scheduling in Heterogeneous Wireless Networks Using Multi-Agent Deep Reinforcement Learning Techniques". Electronics 12, n.º 21 (1 de novembro de 2023): 4496. http://dx.doi.org/10.3390/electronics12214496.
Texto completo da fonteZhang, Yuanhang, Hesheng Wang e Zhongqiang Ren. "A Short Summary of Multi-Agent Combinatorial Path Finding with Heterogeneous Task Duration (Extended Abstract)". Proceedings of the International Symposium on Combinatorial Search 17 (1 de junho de 2024): 301–2. http://dx.doi.org/10.1609/socs.v17i1.31591.
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