Multi-Objective Dynamic Path Planning with Multi-Agent Deep Reinforcement Learning by Mengxue Tao, Qiang Li, Junxi Yu

Subjects: “…multi-agent reinforcement learning…”
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Development and Validation of the Interpreting Learning Engagement Scale (ILES) by Wenting Yu, Chenggang Wu

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Droplets Cas13a‐RPA measurement delineates potential role for plasma circWDR37 in colorectal cancer by Jingsong Xu, Li Cao, Shuang Yang, Ying Jian, Yu Liu, Zhen Shen, Qian Liu, Xiang Chen, Min Li, Shun Li, Xiaolei Zuo, Min Li, Hua Wang

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Functional nanocrystal as effective contrast agents for dual-mode imaging: Live-cell sonoluminescence and contrast-enhanced echography by V. Vighetto, E. Pascucci, N.M. Percivalle, A. Troia, K.M. Meiburger, M.R.P. van den Broek, T. Segers, V. Cauda

Subjects: “…Echographic nano-contrast agent…”
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Simulating human behavior under earthquake early warning by Matthew Wood, Sara K. McBride, Xilei Zhao, Dare Baldwin, Elizabeth S. Cochran, Xiaojian Zhang, Nicolas Luco, Ruggiero Lovreglio, Tom Cova

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Efficiency of the data generated by the robotic milking system for comprehensive diagnosis of mastitis in cows by M. N. Isakova, M. V. Ryaposova

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Research on the multi-agent motivation coupling evolution and synergy improvement for farmland ecological protection in China by Adila Ainiwaerjiang, Xueying Jin, Zhen Xie, Tian Tian, Yuxuan Dang

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Moisture stability enhancement of open-graded friction courses filling with oil shale waste based on interface linkage modification by Yingsong Li, Wei Guo, Xiaoming Huang, Zeqi Chen, Ziyue Zhou, Ying Gao

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Multiple Unmanned Aerial Vehicle Collaborative Target Search by DRL: A DQN-Based Multi-Agent Partially Observable Method by Heng Xu, Dayong Zhu

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Tests of thermal macroeconomic theory on simulated microeconomies by Yihang Luo, R S MacKay, Nick Chater

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A Multi-Agent Approach to Modeling Task-Oriented Dialog Policy Learning by Songfeng Liang, Kai Xu, Zhurong Dong

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Recent advances in the managements of type 2 diabetes mellitus and natural hypoglycemic substances by Chong Ning, Yuhan Jiao, Jiaqi Wang, Weiwei Li, Jingqiu Zhou, Yi-Chieh Lee, Dik-Lung Ma, Chung-Hang Leung, Rugang Zhu, Hui-Min David Wang

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IALight: Importance-Aware Multi-Agent Reinforcement Learning for Arterial Traffic Cooperative Control by Lu WEI, Xiaoyan ZHANG, Lijun FAN, Lei GAO, Jian YANG

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Data Driven Real-Time Dynamic Voltage Control Using Decentralized Execution Multi-Agent Deep Reinforcement Learning by Yuling Wang, Vijay Vittal

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Dynamic rationing using agent-based modeling of the assembly process of equipment for nuclear power plants by I. A. Loskutov, D. A. Skvortsova, V. G. Iskandarova

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Evaluating shear bond strength efficacy of seventh and eighth generation bonding agents (an in vitro study) by Hidayat Ababakr Khudhur, Diyar Khalid Bakr, Sazan Sherdl Saleem, Sohela Fakher Mahdi

Subjects: “…7th and 8th generation bonding agent…”
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The Mid-Twentieth Century Baby Boom and the Role of Social Influence. An Agent-Based Modelling Approach by Eli Nomes, André Grow, Jan Van Bavel

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Simulación del crecimiento urbano con AMEBA: Modelo Basado en Agentes para la ocupación residencial by Carolina Cantergiani, Montserrat Gómez Delgado

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Jouer et modéliser un territoire sans voiture : retour d’expérience sur le projet post-car Île-de-France by Arnaud Banos, Fanny Cottet, Jean Debrie

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Olutasidenib in combination with azacitidine induces durable complete remissions in patients with relapsed or refractory mIDH1 acute myeloid leukemia: a multicohort open-label phas... by Jorge E. Cortes, Gail J. Roboz, Maria R. Baer, Brian A. Jonas, Gary J. Schiller, Karen Yee, P. Brent Ferrell, Jay Yang, Eunice S. Wang, William G. Blum, Alice Mims, Hua Tian, Aaron Sheppard, Stéphane de Botton, Pau Montesinos, Antonio Curti, Justin M. Watts, the Olutasidenib Combination Therapy Study Group

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