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AAEON, a leading designer and manufacturer of industrial IoT and Edge AI solutions, has partnered with Cogniteam to develop ready-to-build robotic hardware that leverages Cogniteam’s Nimbus software, the leading drag and drop robotics operating system.
Traffic signal control is an essential and chal-lenging real-world problem, which aims to alleviate traffic congestion by coordinating vehicles' movements at road in-tersections. Deep reinforcement learning (DRL) combines deep neural networks (DNNs) with a framework of reinforcement learning, which is a promising method for adaptive traffic signal control in complex urban traffic networks. Now, multi-agent deep reinforcement learning (MARL) has the potential to deal with traffic signal control at a large scale. However, current traffic signal control systems still rely heavily on simplified rule- based methods in practice. In this paper, we propose: (1) a MARL algorithm based on Nash Equilibrium and DRL, namely Nash Asynchronous Advantage Actor-Critic (Nash-A3C); (2) an urban simulation environment (SENV) to be essentially close to the real-world scenarios. We apply our method in SENV, obtaining better performance than benchmark traffic signal control methods by 22.1%, which prove
/PRNewswire/ A new market study published by Global Industry Analysts Inc., (GIA) the premier market research company, today released its report titled.
LCS To South America? Chief of Naval Operations Adm. Mike Gilday raised the idea of selling nine Littoral Combat Ships (LCS) the Navy wants to retire to