… widely used in controls and machine learning applications. … in decision-making and machine
learning, then introduces basic … applications in controls and machine learning. Finally, it …

… national security related research in areas such as applying machine learning frameworks
to … defense, and developing attack and defense methodologies for industrial control systems. …

… Then, in combination with the graph learning method, the co-occurrence probability association
is learned and mapped as the adjacency matrix of the co-occurrence graph, the feature …

… , machine learning, and swarm intelligence.The Ministry of Science and Technology has
reportedly tasked a team of experts to draft a plan for the development of artificial intelligence …

… methods are combed, categorized and reviewed as well, including traditional methods and
recent methods based on deep learning. … the research progress of related issues. Key words …

… Autonomous aircraft sequencing and separation with hierarchical deep reinforcement
learning[C]//FAA&EUROCONTROL. The 8th International Conference for Research in Air …

… This paper shows an approach to automation of DH van der Laan’s proportional system, the
… Laan’s theory, we could derive formulas for automation. The automation presented in this …

… DRL is a machine learning method that combines deep learning (DL) and … intelligent
collaborative control method based on deep reinforcement learning can fully meet the control …

… a deep reinforcement learning algorithm … deep reinforcement learning methods that can
be applied for this problem, we describe the related problem of Getir and one of the methods …

… of intelligent vehicle-infrastructure cooperative control methods around connected and …
Multi-agent deep reinforcement learning for urban traffic light control in vehicular networks[J]. …