Using Reinforcement Learning with AWS RoboMaker
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13.05.19 – 53 0381:43Популярные
24 дня – 2 22523:06
32 дня – 2 9840:49Опубликовано 13 мая 2019, 21:50
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Reinforcement learning is a machine learning technique used to develop, test various applications. In this tutorial, robotic application developers, robot operators, fleet managers and researchers will learn how to use reinforcement learning with AWS RoboMaker to train a turtlebot robot to identify, locate, and navigate another object. AWS RoboMaker is a service that makes it easy to develop, test, and deploy intelligent robotics applications at scale. RoboMaker extends the most widely used open-source robotics software framework, Robot Operating System (ROS), with connectivity to cloud services. This includes AWS machine learning services, monitoring services, and analytics services that enable a robot to stream data, navigate, communicate, comprehend, and learn.
Reinforcement learning is a machine learning technique used to develop, test various applications. In this tutorial, robotic application developers, robot operators, fleet managers and researchers will learn how to use reinforcement learning with AWS RoboMaker to train a turtlebot robot to identify, locate, and navigate another object. AWS RoboMaker is a service that makes it easy to develop, test, and deploy intelligent robotics applications at scale. RoboMaker extends the most widely used open-source robotics software framework, Robot Operating System (ROS), with connectivity to cloud services. This includes AWS machine learning services, monitoring services, and analytics services that enable a robot to stream data, navigate, communicate, comprehend, and learn.
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